Email: c410.f3r (at) gmail.com
  Location: Brazil
  Remote: Yes
  Résumé/CV: https://c410-f3r.github.io/curriculum.pdf
  Technologies: AI, Blockchain, C, C++, Cryptography, Docker, Svelte, GCP, Go, Kubernetes, Node, PostgreSQL, React, Rust, Web, ZK
  Willing to relocate: No

Up to anything: Backend, frontend, blockchain, compilers, DevOps, embedded or mobile. Bonus point if there is a little bit of Rust involved.

If you are curious my greatest project is WTX, a fast WebSocket framework and Database client that gave me a lot of insights about performance and code architecture. See https://github.com/c410-f3r/wtx.

For more information, take a look at my CV (https://c410-f3r.github.io/curriculum.pdf).

Location: EU/US Remote: Yes Willing to relocate: No CV: Ask Email: d.dev.nyc+hnjobs@gmail.com

I help organizations evolve into AI-native businesses by redesigning processes, decision-making, and operating models around LLMs, agentic systems, and intelligent automation. I enjoy partnering with leadership to identify high-leverage opportunities, define AI strategy, and translate ambitious transformation goals into processes that drive organization-wide adoption.

My focus is applying frontier AI capabilities—LLMs, agents, and intelligent automation—to transform how companies operate: redesigning business processes, augmenting teams, automating knowledge work, and building agentic workflows that create measurable business impact.

I specialize in bridging the gap between business strategy and technical execution. I work with executives, operators, and technical teams to identify high-value AI opportunities, translate ambiguous problems into scalable solutions, rapidly prototype systems, and drive adoption across teams.

My expertise includes enterprise agentic workflows, AI-native operating models, AI orchestration, workflow automation, autonomous business processes, and production AI deployment.

I'm particularly interested in helping companies rethink how work gets done — building AI-first workflows and augmenting decision-making where humans and AI collaborate effectively. I enjoy working across strategy and implementation, taking ideas from discovery through deployment, adoption, and continuous improvement.

Looking for Forward Deployed Engineering opportunities where technical excellence, customer partnership, and AI-driven organizational transformation are equally important. If that's the transformation your company needs, reach out via email.

Remote: Yes, EU/US timezone overlap

Willing to relocate: No

Technologies: TypeScript, Golang, React, Next.js, design systems/UI kits, accessibility, developer experience, Electron, Tauri, React Native, Node.js, Web Workers/WebAssembly, FFmpeg, WebRTC, PixiJS, TLDraw/Excalidraw-style canvas tools, Tesseract.js/OCR, Chrome extensions, CI/CD

Résumé/CV: https://izmailov.dev/cv

Email: anton@izmailov.dev

Salary expectation: USD $130,000+/year.

=====

Senior+ frontend-leaning product engineer with 10+ years of experience. I’m passionate about complex user-facing products where UX, frontend architecture, performance, and business needs are a must!

I led the UI kit initiative that evolved from a DX tool into an important core layer for how the company plans and ships features. It was later integrated into the frontend committee to improve adoption and involvement and to drive frontend development at the company.

I also built various screen-recording tools using FFmpeg and Web Workers, and recently built a tool with Tesseract.js for OCR to quickly understand the screen and recognize patterns, then confirm them with more powerful OpenAI Vision for further processing.

I’m seeking new, complex challenges that require deep knowledge of the client-facing side of engineering, and I'm ready to join as a full-time senior+ frontend product engineer.

Defensive platform security engineer available immediately for contract or full-time work.

Experience includes Linux kernel hardening, seccomp, container isolation, NGINX/TLS, CI/CD security, Windows endpoint controls, and Android/AOSP platform security.

Best fit: platform security, infrastructure security, Linux systems security, container security, or Android/AOSP engineering.

Résumé and technical evidence available by email.

Remote: Yes

Willing to relocate: No

• Technologies: Swift, Objective-C, AppKit, UIKit, SwiftUI, CoreData, REST, Stock/Forex/Crypto

• Tools: Xcode, Github, Figma, Jira/Linear/Trello, Cursor/ChatGPT/Claude

• LinkedIn: https://www.linkedin.com/in/christiancomeau

• Resume/CV: http://chriscomeau.com/resume

• Email: chris.comeau@skyriser.com

Remote: Yes

Willing to relocate: Not at the moment

Technologies: Python, Telegram bots, n8n/Make, Claude API/MCP, SQL, web scraping, ERP (20 yrs), BPMN

Résumé/CV: https://automation-kits.pages.dev

Email: a.gorbatov80@gmail.com

Operations engineer (20 years in ERP) — I fix messy business operations with AI and automation. I take a messy task description and turn it into a technical plan and working code fast. Recent work includes production ERP extensions delivered in days, AI-assisted document automation, Telegram workflow bots, and automation pipelines for business operations (code samples: https://github.com/Aleksandr-Gorbatov/automation-kits). Looking for part-time contract or project work. I work best in async, written communication.

  Location: Brazil (UTC-4)
  Remote: Yes
  Willing to relocate: No
  Technologies: Erlang, F#, Gleam, Nix, NixOS, Linux, OCaml, Python, SQL, AWS, Azure, Bash, PostgreSQL, Docker, DevOps, Terraform / Tofu
  Résumé/CV: https://schonfinkel.github.io/static/cv.pdf
  Email: marcos [dot] schonfinkel [at] gmail.com

I'm looking for Backend Engineering (especially functional programming) or DevOps/SRE opportunities.

Technologies: Flutter, Android, Java, Kotlin, Firebase, REST APIs, SQL, Git, Google Play Console, Mobile Architecture, Product Strategy, AI-assisted Development (Claude, ChatGPT), Mobile Monetization, Analytics

Résumé/CV:

I’m a technical founder and solo software engineer with over 4 years of experience building and maintaining a consumer Android application that has surpassed 1 million installs.

I’ve independently handled nearly every aspect of the product lifecycle, including software architecture, mobile development, backend integrations, release management, Google Play compliance, monetization, analytics, growth strategy, and long-term maintenance.

I enjoy solving product and engineering problems, planning features, designing scalable architectures, and turning ideas into shipped products. I’m comfortable taking ownership, working directly with founders, and moving quickly in small teams.

I’m an AI-native developer and use tools such as Claude and ChatGPT extensively to accelerate development while maintaining production-quality code.

I’m looking for a remote role as a Founding Engineer, Product Engineer, Full-Stack Engineer, Mobile Engineer, or Technical Generalist at an early-stage startup where I can contribute beyond just writing code.

22, self-taught. Won a $100K Meta Llama Impact Grant for Bluai and presented it at LlamaCon on 2025

Bluai (https://play.google.com/store/apps/details?id=com.bluai.app&...) is a hurricane early-warning app live on Google Play in Mexico, built offline-first because during a hurricane the network is the first thing to go. An online RAG pipeline and an on-device Llama 3.2 (ExecuTorch, NPU-accelerated) sit behind one interface, picking 1B or 3B based on device RAM, so the UI never knows which brain answered. When everything is down it falls back to Bluetooth/Wi-Fi mesh chat over a multi-hop wire protocol.

Email me one paragraph about something broken or missing in your product. I'll build a working prototype and send you the repo plus a short video of it running, within 48 hours. Free. No call, no interview, no invoice. If you like it, we talk. If not, you keep the code.

Flexible on compensation for the right team. I'm optimizing for who I'd be learning from, more than thinking in numbers.

—

Hi! This is Victor,

For the last years I've been floating in between product design / product engineering / design engineering

I've been working a lot with AI recently creating very interesting tools, workflows and UIs. I'd be happy to have a call and show some cool stuff!

My strengths are:

  UI, UX, interaction design beyond screens
  Prototyping complex and creative apps, Creative coding
  Tech Stack: I love user facing things but these days with agentic coding basically anything.
  CV: https://hn.pixeletes.com

  Willing to relocate: Yes

  Technologies: Java, Python, C++, Rust, Zig, Typescript 

  Résumé/CV: https://drive.google.com/file/d/13lej5L8mnIGct1phoryqTWVenaJImObg/view?usp=sharing
  Email: mshoosterman@gmail.com

Remote: Yes (EU/Worldwide)

Willing to relocate: No

Technologies: Swift, SwiftUI, UIKit, Objective-C, iOS architecture, performance optimization, product development, UX/design

Résumé/CV: https://tinyurl.com/y5p7ddh4

LinkedIn: https://www.linkedin.com/in/tomislavf/

GitHub: https://github.com/tomislav

Email: tomislav@me.com

Senior iOS & Product Engineer with 18+ years of iOS development and 20+ years of software engineering experience. I’ve led development of award-winning apps featured by Apple, The New York Times, and Forbes, and have worked remotely with distributed teams for over a decade.

I’m looking for Senior/Lead native iOS roles where I can own product quality from architecture through implementation, with a strong focus on performance, user experience, and shipping polished apps.

Remote: Yes, remote only

Willing to relocate: No

Technologies: Python, FastAPI, Anthropic Claude, TypeScript, Next.js, SQLite, Solidity, Oracle Cloud ARM, Cloudflare

Resume/CV: https://github.com/visione4906

Email: crease.tm@outlook.com

I build LLM systems that run in production. The clearest example is live: pick a sector at https://demo.consentleads.uk and message it the way a customer would. Nothing is scripted. It runs on a free-tier ARM box behind a Cloudflare tunnel, is multi-tenant and has users, and nine scheduled jobs keep it going unattended.

If opt-out detection misses a phrase, the system keeps emailing someone who asked it to stop, and nothing crashes or alerts. So the suppression gate fails closed, and the eval fixtures cover that path and reply triage.

I also wrote claimcheck (MIT, https://github.com/visione4906/ctaio-claimcheck): give it a document and a codebase and a second agent has to prove every claim against the source with file and line citations, or the build fails. I built it after an outside review of my own writing turned up claims the code did not support.

Looking for AI engineering or AI automation work, remote.

  Location: Houston area, TX
  Remote: Yes
  Willing to relocate: No
  Technologies: Primarily Rust, Ruby, JS / TypeScript, Postgres, GraphQL, many others
  Résumé/CV: http://sevendral.com/resume-aug-2026.pdf
  Email: ross.andrews@gmail.com

  Location: Europe (UTC+2)
  Remote: yes
  Willing to relocate: no
  Technologies: Python, SQL, C, Java, Go, PHP, JavaScript, Typescript, Claude Code, Analytics, Git
  LinkedIn: https://linkedin.com/in/lukas-gelbmann
  Email: me@lukasgelbmann.com

Résumé/CV: https://drive.google.com/file/d/11Bz-FduL6G6nOdf8NbhDbBZD72n...

Email: shashwatbansal247@gmail.com

GitHub: github.com/bansal247

Backend engineer, ~3 years. Currently building a 9-service biometric verification platform end-to-end as a solo contractor — FastAPI + Postgres 16 with Fernet-encrypted PII and PgBouncer transaction pooling, an APScheduler container coordinating AWS Rekognition with two Java microservices for fingerprint and iris matching, plus a Kotlin Android client with offline-first sync. https://github.com/bansal247/exam_biometrics_server

Before this, low-latency Go services at Longshot Systems (London algo-trading firm). Joined without Go, was shipping in my second month — comfortable picking up new stacks fast.

In parallel, solo client work on Upwork: 32 jobs, 1,100+ hours, 100% Job Success Score, 5.0/5.0 rating, Rising Talent badge, repeat clients. Across Python/Go automation, MERN-stack apps, ML/CV, and JS/React. Profile: upwork.com/freelancers/~01adc60eaf87e012ae .

Remote: Yes

Willing to relocate: No

Technologies/Skills: JavaScript/Typescript for FE and BE, React ecosystem, Express, webpack, REST, testing (unit, E2E, visual), REST apis, SQL, NoSQL, HTML5, CSS3, Tailwind, Figma, Claude Code

Résumé/CV: https://www.empresser.dev/resume.pdf

Email: eepresser@gmail.com

I’m Emily, a FE/fullstack developer with 8+ years of experience and a B.A. in Mobile Media Programming. I specialize in React webapps and can make just about anything happen on the FE.

I've spent the entirety of my career working at startups, primarily building fintech (consumer and B2B) web and mobile applications. I have experience as a tech lead and have helped grow teams from 6 to 150+.

Remote: Yes (flexible with US/EU overlap)

Willing to relocate: No

Technologies: Claude API, Claude Code, Cursor, MCP servers, LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, LangChain, LlamaIndex, RAG pipelines, multi-agent orchestration, LLM integration, Python, FastAPI, Django, Node.js, PostgreSQL, pgvector, Next.js, React, TypeScript, Supabase, Stripe, AWS, Docker, Vercel, CI/CD

Résumé/CV: https://govindgupta.com

Email: govind@govindgupta.com

GitHub: https://github.com/guptagovind

LinkedIn: https://linkedin.com/in/govind-gupta

16 years shipping production systems across startups and enterprises, including 2.5 years onsite at US enterprises ADP and Time Warner Cable. I build agentic AI systems that run in production daily and full-stack platforms that serve thousands of users at scale.

What I've shipped:

1. Multi-agent feature development system on LangGraph, runs daily in production. Supervised agent team, Postgres checkpointing, pgvector RAG, custom MCP servers, LangSmith eval harness, human approval gates.

2. https://turtlemint.com, insurance platform scaled to 10,000+ monthly users

3. https://ontosight.ai, life sciences AI platform, document analysis and verification workflows

4. Enterprise network management platform serving real-time dashboards across 10,000+ device networks

5. AI-powered development tools used daily by distributed engineering teams

I own architecture decisions, lead and mentor engineering teams, and stay hands-on. Comfortable operating at startup speed and enterprise complexity.

Open to contract work, fractional technical lead engagements, or the right full-time remote opportunity.

govind@govindgupta.com

  Location: London, UK
  Remote: Yes (remote preferred; open to one day a week in central London)
  Willing to relocate: No
  Technologies: TypeScript/React, PHP/Laravel, PostgreSQL, React Native/Expo, product design/UX, AI-assisted development
  Résumé/CV: https://dvy.io
  Email: hn@davidbarker.me
  LinkedIn: https://www.linkedin.com/in/dvyio
  Seeking: Senior Product Engineer with product design ownership (permanent preferred; open to substantial contract work)

At Flowstate, I took a workforce-planning SaaS from blank repo to paid pilot in 10 weeks as sole engineer-designer. I currently own product design, backend, mobile apps, Stripe Connect payments, AI-assisted listing tools, and infrastructure for a US trading-card marketplace.

I use and evaluate new AI models and coding workflows to make product development faster, while preserving quality through type safety, tests, CI, review, and product judgement.

I'm looking for a team that uses AI coding tools seriously, values strong product design, and keeps product builders close to customers.

Remote: Yes - remote only, open to any timezone

Willing to relocate: No

Technologies: Ruby on Rails, PostgreSQL, JavaScript, React, Python, LLM/agentic systems (agents, RAG, advanced memory, fine-tuning)

Résumé/CV: https://gioch.github.io

Email: georgechkhvirkia@gmail.com

* Senior product engineer who ships agentic AI features on Rails. Co-Founder @shelfy.so.

* 16 years building production web systems, 8+ in leadership (CTO/tech lead) multi-tenant Rails APIs, complex permission systems, and lately LLM-powered products end to end: AI memory systems, voice/messaging agents.

Looking for senior/staff/founding engineer roles at any size company, full-time or fractional.

Remote: Yes

Willing to relocate: Yes

Technologies: NodeJS, Typescript, Perl, Python, Bash, Git, Express, Mocha, HTML/Javascript/CSS, ES2015-2020, OAuth 2.0, React, JQuery, Bootstrap, Netlify, Podman, Docker, Lambda, Serverless, Message Queues, Stripe, Linux, Postgres, MongoDB, Redis, Nginx, GitHub Actions, Gemini, Ollama.

Résumé/CV: On request via email

Hi I’m Mark, a Web Developer, Consultant and Automation Engineer originally from the UK. I specialize in devops/system tools, workflow automation integrations, and NodeJS web development.

10+ years working in IT, experienced delivering large projects for Fortune 500 companies internationally, and working remotely.

Most recently:

- Highly programable template rendering CLI tools.

- An open core, provider agnostic publishing server software.

- A Typescript OAuth2.0 REST API, with Typescript+React frontend.

- Programming with LLMs and devcontainers.

About me: https://markjgsmith.com/about

Portfolio: https://markjgsmith.com/portfolio

Recommendations: https://markjgsmith.com/recommendations

Email: markjgsmith@gmail.com

Remote: Yes (Atlantic, full ET overlap)

Willing to relocate: Yes (anywhere in US; TN visa eligible)

Technologies: Java, Python, C++, SQL, AWS, Docker, Kubernetes, OpenShift, Spring Boot, PostgreSQL, MongoDB, Kafka, RabbitMQ, CI/CD, data structures and algorithms, data pipelines, distributed systems

Résumé/CV: https://drive.google.com/file/d/1erbnC0Cfv1gchDphdop1R7twiKH...

Email: see Resume

-

Backend software developer with 12+ years across various domains and tech stacks.

In my free time I like to explore system internals and low-level programming where performance is critical, and I'd be happy to bring more of that into my day job.

Open to full-time, part-time, and contractor roles.

Remote: Yes

Willing to relocate: Yes

Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...

LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

Email: zanedev28@gmail.com

GitHub: https://github.com/Kcstills17

Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

Remote: Yes — open to US or Europe based companies

Willing to relocate: Within India

Technologies: Go, Rust, TypeScript, C, PostgreSQL, MongoDB, SQLite; some Zig and Elixir

Résumé/CV: https://drive.google.com/file/d/1Bh_klj2n_xMgwZz1hWcodU-ZuWP...

Email: pratapyashkulshrestha@gmail.com

Github: https://github.com/yash3605

LinkedIn: https://www.linkedin.com/in/yash-pratap-kulshrestha-97404b29...

Final-year CS student and backend developer with a systems-programming leaning. I like working with backend systems, More than that I am eager to learn from anyone. Apart from my coursework I have worked on - crawlers, TUIs and rate-limited APIs.

Open source / recent work:

Contributing to the Linux kernel - submitted patches to drivers/staging/rtl8723bs/ (checkpatch cleanups), currently working through review feedback with the maintainers. Built web_weaver, an async Rust web crawler from scratch: tokio-based concurrency, per-domain rate limiting, robots.txt compliance, SQLite + FTS5 storage, crawl resumption via a persistent queue. First of a planned three-part research/search tool. Comfortable across the backend stack: Go and Rust for services, Postgres/Mongo for storage, some exposure to Elixir and Zig.

Based in India (IST), but can shift my hours to get a solid 3-4hr overlap with EU or US mornings - happy to discuss specifics.

Looking for a remote backend or systems-adjacent role at an established company or a startup with real funding/traction/team - not a pre-idea-stage solo founder project or a "let's see if this works" 3-month gig. Open to relocating for the right role if the company is based in India. Happy to do a proper interview process; if you're reaching out, a link to your company/product and team size is appreciated so we can both save time.

    Location: Spain
    Remote: Yes
    Willing to relocate: No
    Technologies: Scala, Java, Rust, JavaScript/TypeScript, React, Ruby, AWS, Postgres
    Résumé/CV: https://www.linkedin.com/in/alexis-hernandez
    Email: alexis+hn@alexitc.com

I believe in using the right tool for each task. Strong infrastructure background (AWS, cloud-native, distributed systems). US C-Corp for contracting.

I've attempted to bootstrap products myself so I understand what it takes beyond writing code. I take full ownership end to end, I don't wait to be told what needs solving.

Immediate availability because my whole team was laid off recently, I'm used to work on US timezones. Open to senior IC or tech lead roles.

- GitHub: https://github.com/AlexITC

- Latest tech talk: https://www.youtube.com/watch?v=SJxEXAkxD3I

- Testimonials: https://alexitc.com/testimonials/

P.S: I also have decent experience leveraging AI to speed up my work, not vibe coding but holding AI-hands like I'd typically do with junior devs. I also have built multiple AI integrations.

I build AI-powered web products with typed, auditable backends. Open to remote contract or full-time work.

Veris — GitHub PR analysis tool that classifies risk and surfaces a structured merge recommendation with evidence. GitHub App ingests PRs via webhooks; diffs go to an LLM through OpenRouter; output is schema-validated before it's ever shown to a user, not rendered directly. Can reliably check structural consistency, but treats true intent verification (did the PR solve the actual task) as an open problem rather than faking it. MVP, live: veris-roan.vercel.app

Briefr — AI research agent, cited reports in seconds. Citations pulled from grounding metadata, not generated by the model. Live: briefr-ai.vercel.app

AppealMD — turns dental insurance denials into payer-specific appeal letters in under 30s. 3-step pipeline (classify → match rule → generate), Pydantic validation at every stage. No PHI stored. Live: getappealmd.vercel.app

I avoid abstractions I can't audit. I make product decisions, not just implementation decisions.

Email: fraolashebir84@gmail.com

Remote: Yes

Willing to relocate: No

Technologies/Skills: Claude Code, Codex, Product Design, UX Design, UI Design, Figma, SaaS Design, Design Systems, Variables, Tokens, SaaS Design, Dashboard Design, Landing Page Design, User Experience, User Interface, UX Design, Web Design, UX Designer, Motion Design, AI Tools, Components, HTML, CSS

Résumé/CV: https://SaaSDesigner.com/

Email: brendan@saasdesigner.com

I’m Brendan, a SaaS product designer with 9+ years of experience and a B.A. in Interaction Design.

I help startups and SaaS teams turn complex ideas, unclear requirements, and inconsistent interfaces into intuitive, buildable product experiences.

Available for ongoing remote design partnerships, including product strategy, AI & SaaS UX/UI design, prototypes, design systems, and implementation-ready work.

  Location: USA - San Antonio
  Remote: Yes | Hybrid
  Willing to relocate: No
  Technologies: Azure, AWS, Linux, TypeScript, NodeJS, Python, Ruby, C#, MySQL, Java, Groovy, Postgres, React, VueJS, etc.
  Résumé/CV: https://www.linkedin.com/in/gregzapp/
  Email: greg (dot) zapp (at) gmail

My most recent role was Principal Engineer at HungerRush where I delivered a number of high impact projects, including most recently their next-gen voice AI ordering (OrderAI) platform.

  - Location: Chicago, IL, USA
  - Remote: Yes
  - Willing to relocate: No
  - Technologies: TypeScript, React, Next.js, Node.js, Python, Cloudflare Workers/Durable Objects/D1/KV, Hono, Drizzle ORM, SQLite, PostgreSQL, OpenAI/Anthropic APIs, MCP, Tailwind, Git
  - Résumé/CV: https://nicobaier.com/resume.pdf
  - Email: nico.baier@gmail.com
  - Github: https://github.com/nbbaier
  - LinkedIn: https://www.linkedin.com/in/nicobaier
  - Website: https://nicobaier.com

Remote: Yes

Willing to relocate: Yes

Technologies: H100, AI, Training, Python, PyTorch, FastAPI, Docker, CUDA, C/C++, OpenCV, Swift, JavaScript, TypeScript, NodeJS, React, NextJS.

Resume: https://www.acpul.org/cvs

Email: pungg10kk@gmail.com

I'm an experienced developer, visionary and researcher.

I've created better "Who to be hired?" reader here https://news.ycombinator.com/item?id=48748491

Reach out to me and I will strengthen your team with my experience and knowledge.

I started working with AI back in 2014 and consider myself one of the early vibe coders. I’m interested in everything related to AI and security, I’ve worked on benchmarks, optimizations, training and inference, tinygrad, H100, B200, DeepSeek etc. I also developed an ultra-fast programming language for executing complex GPU workloads and created a generative OS for it.

Under 25, I created the core of a security scanner and built a hacking team at a UK startup ($7M investment). We removed the GIL from Python to run 30,000 threads and scan 18,000 exchange IPs for malware overnight.

I have many achievements, I created a Top-10 music app on the App Store and an Instagram filter editor for a social network that had 28,000 users at launch.

I worked on a top-30 AI cryptocurrency, built a next-gen version of BitChat https://news.ycombinator.com/item?id=48748439 and developed a file manager for offline backup drives: https://github.com/web3cryptowallet/drive-py

Remote: Yes

Willing to relocate: No

Technologies: Swift, SwiftUI, Obj-C, Kotlin, C#

Native application development for iOS, Android, Mac and Windows with over a decade of experience. Creating and/or integrating APIs/SDKs. TV/Video applications on all platforms (Apple, Android, Amazon, Roku.) Extensive experience building products and platforms from the ground up.

Email: info at squirrelpointstudios dot com

I'm a forward-deployed engineer. My background is 15+ years of data science, but I focus on solving problems. I work in messy, ambiguous, regulated environments. Often at a client's site, inside their systems and their data. I excavate unmapped data, learn how the team works, and ship tools that stay in production.

Deployed and still running today: Legal clause extraction and validation; site corrosion detection and management; routing and predictive-maintenance systems that stayed in service.

I compress engineering, data, and modeling into one function, owned end to end. I show up, figure out what needs to be built, and make it work.

Tooling: ML/AI, LLMs, and the engineering around them: evals, determinism, observability, guardrails. The tech is just a tool, The hard part is knowing what to build.

If you have a messy, ambiguous problem that needs someone who can embed and ship, my email is in my profile.

EDIT: Corrosion detection so people don't think I detect rust code. (Nothing wrong with that)

Remote: Yes, remote or Cincinnati area only

Willing to Relocate: No

Technologies: LLMs/MCP development (recently for game development and developer support automation), Go, Python, Java, Typescript, Distributed systems, game development in Unity and Godot

Other skills: Developer education, partner engineering/FDE, solutions engineering

Resume: https://gabethebando.cc/resume

Email: g.albacarys@gmail.com

Jack-of-all-trades software engineer with ~10 years experience, focusing on developer experience, working on game platforms such as Netflix's cloud games stack and Niantic's real world platform. I love game development, and am passionate about helping partners succeed by helping connect them with the right resources and blazing a path forward where one didn't exist before. I'm looking for either a developer tools-focused SWE role or a Partner Engineering/Forward Deployed Engineer role. I'm also interested in jumping into engineering management; I've had significant informal management experience and would like to translate that into a full-time move into EM work.

I'm unable to relocate due to family obligations but have no issues with travel. Thanks in advance!

  Location: Hyderabad, India
  Remote: Yes (preferred; willing to work hybrid in Bengaluru/Hyderabad, India)
  Willing to relocate: Yes
  Technologies: Python, FastAPI, Oracle for full stack and shell scripting, python scripting, and for platform engineering java, jenkins, artifactory, OCI, maven, gradle, linux, shell scripting, python, etc.
  Résumé/CV: https://github.com/SantruptaMishra98/resume
  Email: mishra.santrupta98@gmail.com
  github: https://github.com/SantruptaMishra98
  Linkedin: https://www.linkedin.com/in/santrupta-mishra-65bb2b1a6/
  Seeking: Backend/Platform/Fullstack Engineering roles, no preference in size of org

Remote: Remote only

Willing to relocate: Yes, with visa sponsorship

Technologies: TypeScript, React, Next.js, React Native (Expo), Node.js, Express, Nest.js, Python/Django, PostgreSQL, Prisma, Redis, MongoDB, Supabase, Docker, Nginx, AWS S3, GitHub Actions CI/CD, WebSockets, REST APIs, microservices

Résumé/CV: https://drive.google.com/file/d/1YnzMKIi0KnecclOpo8AmtrCpS83...

Email: umermehmood3000@gmail.com

Full stack engineer, 2+ years, currently lead developer on a real-time broker app.

Highlights:

- Shipped Floret Analysis end to end — a React Native trading app live on both the App Store and Play Store. Live WebSocket market data, dynamic charting, biometric auth, push notifications, native module bridging: https://apps.apple.com/pk/app/floret-analysis-for-pmex/id674...

- Scaled Anewswire, a Django/Next.js press platform, past 20,000 active users with RSS pipelines and a custom CMS.

- Architected Contfly, a Nest.js microservice platform integrating 6+ social APIs behind a gateway.

- LLM tooling in production, not just in the editor: Claude Code as my primary driver, bulk generation on the Anthropic Batches API, and a deterministic metadata layer over ~700 generated pages — built specifically to bound where the model was allowed to be nondeterministic.

Available in 2-4 weeks. Open to contract or full-time.

Remote: OK

Willing to relocate: Yes

Technologies: Go, Python, Django, DRF, FastAPI, Flask, Celery, Redis, PostgreSQL, RabbitMQ/Kafka, Docker, K8s, AWS[Lambda, EC2, S3 and ELB].

Github: https://github.com/sirrobot01

Resume: https://drive.google.com/file/d/1dmHC01E1BKHQANrjV30oudG3aI0...

Portfolio: https://biodun.dev

Email: akeremukhtar10@gmail.com

Backend engineer with ~7 years in Go and Python. Most of my work is backend systems: APIs, payments, streaming, the plumbing that has to hold up. I have a soft spot for perf-centric development

Most of what I've built recently is open source. The one with real users is decypharr, a media gateway that streams files over a FUSE layer, where I've done deep work on goroutine leaks, lock contention, and caching. I also build a handful of smaller Go tools, from a multi-protocol file server to a protobuf schema registry, all on my GitHub.

Remote: Remote only

Willing to relocate: No

Technologies: Ruby, Ruby on Rails, JavaScript (ES6+), TypeScript, React, HTML/CSS, StimulusJS, Tailwind CSS, Bootstrap, PostgreSQL, Git/GitHub, Gemini CLI, Heroku, Render, Railway

Résumé/CV: https://drive.google.com/file/d/1ZezO0a1vjAPscsYlPDfGR_XeDg-...

Email: yuhruhgrape@gmail.com

I am a Software Engineer with 5 years of experience building secure, maintainable, and data-driven web applications. I specialize in full-stack architecture, migrating complex legacy processes (like unmanaged Excel data) into modern relational PostgreSQL schemas, and integrating AI workflows.

Highlights:

- Architected a Rails 8 application migrating legacy Excel datasets into PostgreSQL with real-time visualizations.

- Integrated Gemini AI to automate i18n tasks and extract medical data from uploaded images.

- Implemented robust authentication systems including OmniAuth integration for Google, GitHub, and LINE.

Remote: Yes (EU/US time zones)

Willing to relocate: Yes.

Technologies: Rust, Python (PyTorch, NumPy/Pandas, Flask, Django), PyO3 Databases/infra: Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s) ML and systems: vLLM, TensorRT, Ray, edge ML inference, gRPC/Protobuf, systems profiling (perf, flamegraphs, Valgrind) Rust focus: Async services (Tokio, Axum/Actix), data/compute (Polars/Arrow), database proxies, performance-critical pipelines.

Domain expertise: - Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience. - Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.

Résumé/CV: available upon request

Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.

I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.

Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).

Email: hn [at-symbol] vixe.re

Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit

Resume/CV: [available on request]

Email: open4work2026@gmail.com (want to keep it anonymous because coworkers are on HN)

24 years in infrastructure, currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.

Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.

I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.

I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.

Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.

Remote: Preferred

Willing to relocate: For the right role, though I'd prefer to stay in the PNW.

Technologies:

    * Languages: Python (proficient), Bash (proficient), JS/Go/SQL (familiar)
    * DevOps: Kubernetes, Ansible, Docker, Zabbix, DNS (TinyDNS/BIND), Harvester, Netbox, KeaDHCP, CI/CD, GHA
    * Platforms/infra: Linux (Rocky/Debian/Arch), Hetzner, AWS, Colo/On-Prem
    * HPC/ML: SLURM, Ceph, TF/Keras/PyTorch
    * Biophysical: GROMACS, OpenMM, FoldX, PyRosetta

Email: jonathan [at] jbarnes.dev

LinkedIn: https://www.linkedin.com/in/barnesjonathane/

Hi, I'm Jonathan, a PhD physicist who moved into infrastructure.

I run infrastructure for an open-source blockchain project where I manage 40+ linux nodes covering provisioning, virtualization, DNS, monitoring, deployments, and user-facing services. I also operate a small web hosting business where I own the full stack from bare metal up. Before this, my background was postdoctoral biophysics and ML research (GROMACS, SLURM, ML-assisted free-energy prediction) plus contract cloud engineering at a startup.

I'm a strong fit for platform, infrastructure, SRE, DevOps, or computational research roles. I do my best work in small, collaborative teams, and I'm comfortable wearing many hats.

Remote: Yes — remote only (~EU hours or async)

Willing to relocate: No

Technologies: Python, LLMs & embeddings, semantic search, deterministic data pipelines, PDF/document extraction, OCR

Résumé/CV: https://walat.eu/cv/

Email: dariusz@walat.eu

Trustworthy output from untrustworthy data. I build systems that catch what's silently wrong — a dead sensor nobody noticed, contradictory records, a garbled scan, a confidently-wrong model — so it surfaces as a flag today, not a six-month catastrophe.

I use LLMs where they earn their place (development, meaning, embeddings, plain-language access to jargon-locked data) and keep them out of decisions and the data flow, which stay deterministic and verifiable. An LLM can help you find the answer; it can't be the answer.

Senior systems engineer, multiple AI cycles of judgment on what survives the hype and where it breaks. Currently turning messy Polish legal PDFs into a correctness-checked graph — the hard part is the verification, not the AI. Previously I built a legislative-notification service that ran autonomously in production for over three years before I retired it. I've written about where AI coding agents actually fail and why verification is the real work: https://walat.eu

Best fit when: correctness matters, the data is real-world-messy, and you want someone who names what doesn't work and why.

Remote: Yes (or hybrid)

Willing to relocate: Yes

https://joecardoso.dev

What I do: I build agentic systems and full-stack infrastructure.

Recent work:

- Founding contributor at NimbleBrain: designed the agentic loop and workflow engine that guides AI agents through building and publishing MCP server integrations end-to-end

- Co-created Vispyr: self-hosted observability platform on AWS with automated infra provisioning, OTel instrumentation, and a full Grafana telemetry stack

- Mozilla Firefox contributor: accessibility and DevTools CSS refactors

Stack I reach for: Python, TypeScript, AWS, Docker, PostgreSQL, Grafana stack, OpenTelemetry, MCP

AI-native: I build with Claude Code daily. Comfortable across the agentic toolchain — RAG, vector DBs, MCP, context engineering.

Resume: https://drive.google.com/file/d/179YWmLYuUz9Cfd-aOLGcgKpWbuz...

Email: jow13_122@yahoo.com

Profile: I'm a Canadian citizen Full-Stack SWE co-creator of Vispyr, an end-to-end, self-hosted, observability tool with automated infrastructure deployment, contributor to Mozilla Firefox, and a founding contributor to NimbleBrain.

Remote: Yes, open to remote, hybrid, or in office

Willing to relocate: Yes

Technologies: Fortran, Python (Matplotlib, Numpy, Pandas, Scipy), OpenMP, Git/GitHub, Linux, Bash, others...

Résumé/CV: Available on request

Email: d6q730rl [at] fastmail [dot] com

GitHub: https://github.com/btrettel

Personal website: http://trettel.us/

I'm Ben Trettel, an experienced mechanical engineer with a PhD, specializing in computational fluid dynamics, design optimization, and verification & validation of computer simulations.

I am particularly interested in opportunities to build cutting-edge physical products where computational simulation and design optimization are key.

Willing to relocate: No

Technologies: Ruby, Ruby on Rails, PostgreSQL, Redis, Sidekiq, Java, AWS, GCP, Docker, Kubernetes, CI/CD, REST APIs, distributed systems

Résumé/CV: [https://github.com/dmccarty/backend-engineer-resume/blob/mai...

GitHub: https://github.com/dmccarty

Email: dan.mccarty.dev@gmail.com

Senior backend engineer available for contract, fractional, contract-to-hire, or full-time opportunities. I have 30+ years of experience building and operating production systems across startups, SaaS, media, financial services, telecom, and public safety domains. I've worked in both early-stage and growth-stage companies and enjoy owning systems end-to-end, from architecture and implementation through deployment and operations. For the past 13 years I've focused primarily on Ruby on Rails backend platforms, APIs, PostgreSQL, cloud infrastructure (AWS/GCP), and production reliability. My experience includes backend architecture, distributed systems, database performance tuning, cloud migrations, DevOps ownership, and operating customer-facing systems in production. I enjoy helping teams solve scaling, reliability, modernization, and operational challenges. Particularly interested in backend, platform, infrastructure, and data-intensive systems, though I'm comfortable contributing across the stack when needed. Available to help with Rails modernization, production reliability, cloud migrations, PostgreSQL performance tuning, backend platform development, and API-heavy applications.

Remote : Yes

Willing to relocate : No

Technologies : Go, Python, Django, Docker, Kubernetes, Linux, AWS, Terraform, Helm, GitLab CI/CD, PostgreSQL, SQL/NoSQL, Bash, Angular, Vue.js, React, GIS (ESRI, GeoServer), PostGIS, TDD

Resumé/CV: https://tinyurl.com/jared-a-rodriguez-resume

Email: jaredarodriguez@gmail.com

Backend and cloud-native platform engineer with 5+ years of experience building production APIs, distributed systems, Kubernetes platforms and Infrastructure as Code. I've built REST services in Django and Go, designed a Kubernetes-native workflow orchestration platform used by U.S. National Laboratories for predictive national critical infrastructure analysis, developed custom Kubernetes Operators and automated cloud infrastructure on AWS using Terraform, Docker, Helm and GitLab CI/CD. I enjoy solving backend and platform problems, designing APIs, building developer tooling, automating deployments and approaching development with a test first mentality. Lately I've been focused on Go, Kubernetes internals, observability and the intersection of platform engineering and AI infrastructure.

Remote: Yes

Willing to relocate: No

Technologies: TypeScript, JavaScript, Angular, RxJS, React, Web Components (Lit), Node.js, PostgreSQL, AWS, Docker, GitHub Actions, Playwright, Jest, Vitest

Résumé/CV: https://martomo.nl/Martijn-Dijkhuizen-CV_2026.pdf

LinkedIn: https://www.linkedin.com/in/martijndijkhuizen/

Email: hello@martomo.nl

--------------

A passionate problem solver with over fifteen years of experience, currently a founding engineer at a self-funded startup building a design and prototyping tool. Before that, I worked mainly as a full-stack engineer at SaaS companies.

Problem solving for me does not stop at the product/code, I'm always finding ways to improve the development process or help colleagues get unstuck by mentoring and coaching. Also I'm not afraid to learn a new programming language/framework or to dive into the infrastructure.

Are you looking for a seasoned, product-oriented software engineer who cares about user experience and can drive a feature from idea to implementation?

I've been working for equity and now I'm looking for a full-time, long-term remote role that pays. Preferably with a SaaS company working in European time zones (CET/CEST +/- 2 hours).

Remote: Open to Remote, In-person, or Hybrid

Willing to relocate: Yes

Technologies: Languages - JavaScript, TypeScript, Ruby, Python, SQL

  Frameworks / Libraries - Express, Sinatra, React, Jest, Vitest, LangChain, Selenium, Pandas

  Cloud / Databases - AWS, DocumentDB, MongoDB, PostgreSQL, RDS, SQLite, ChromaDB

  Other - Docker, AI/LLMs, RAG, MCP, SSE, WebSockets

Email: rachrusiecki@gmail.com

Hello! I'm Rachel, a Full-Stack Software Engineer with multiple years of experience in JavaScript, TypeScript, Ruby, and Python. I recently co-created Pendulum (https://www.pendulum-baas.dev/), a reactive Backend-as-a-Service for web applications. I also recently did freelance work incorporating AI agents into Intelliflo Office for a wealth management firm, and am looking for my next permanent role.

Remote: Yes

Willing to relocate: No

Technologies: Ruby, Ruby on Rails, PostgreSQL, Sidekiq/Redis, Hotwire, JavaScript, TypeScript, React, GraphQL/REST/Grape, RSpec/Capybara, Python/FastAPI, PyTorch/Hugging Face, LLM APIs (OpenAI, Anthropic), Docker, AWS/DigitalOcean

Résumé/CV: https://katatsu12.github.io/

Email: den.zubrytskyi@gmail.com

---

Senior full-stack Rails engineer, 9 years commercial. I ship AI features into production SaaS — not demos.

Most recent: Review Copilot, an AI review-analytics app live on the Shopify App Store, built and shipped solo end to end. Rails 8 backend, plus a DistilBERT multi-label classifier I fine-tuned via knowledge distillation and serve from a Python/FastAPI microservice, orchestrated through Sidekiq. Every recommendation cites the reviews behind it, with a verification pass that flags claims the underlying feedback doesn't support.

Before that: an AI-driven ABM platform (Rails + React) with LLM content-generation pipelines, marketplace products with payments and geolocation, and a legacy CoffeeScript → Turbo Frames migration.

Looking for senior IC work on a Rails product — ideally somewhere LLM or ML features are on the roadmap rather than bolted on.

Remote: Yes (100% Remote only)

Willing to relocate: No

Technologies: LLM Context Architecture, System Analysis, Prompt/Logic Orchestration, Unstructured Data Forensics

Résumé/CV:

- Role: AI Systems Analyst (Concept & Orchestration)

- Focus: Designing structural logic frameworks and external control layers to solve core LLM limitations in enterprise environments (no traditional production coding).

- Deliverables: LLM Context Architectures for 500+ page docs (solving Lost-in-the-Middle), prevention of stochastic drift/hallucinations via audit layers, advanced pattern/anomaly detection (Rongorongo, Kryptos, Dorabella).

- Terms: German employment contract & benefits (Open to international via EoR / German entity)

- Languages: Native German, fluent written English (async-first)

- Notice Period: 2 months to end of month (German standard)

- LLM Context Architecture Repo: https://github.com/Recursive-Logic-Core/LLM-Context-Architec...

- System Analysis & Forensics Repo: https://github.com/Recursive-Logic-Core/system-analysis

Email: arch_mmm@proton.me

Remote: Yes (Remote/Hybrid depending on location)

Willing to relocate: No

Technologies: Primarily Typescript, React, Bash, GitHub Actions

Résumé/CV: https://punkbit.com/docs/cv-punkbit-helder-oliveira.20260713...

Email: info (at) punkbit (dot) com

I'm a Product Engineer and a creative based in London. I’ve built full-stack applications across web, mobile, blockchain and embedded platforms. My client-side work includes React, Electron, Roku’s Scenegraph, and native iOS development with Swift and SwiftUI, always with a strong focus on UX and design-first thinking. On the service-side, I’ve worked with traditional service hosting, containers, and serverless, including (but not limited to) AWS, GCP, Cloudflare, Workers, CloudFormation, SAM CLI, nodejs, bunjs, MySQL, Postgres, NoSQL, grpc, Redis, Docker, nginx, and a few legacy tools best left unnamed (yes, including CodeIgniter and ftp).

I’ve also developed developer tools like CLIs and SDKs, primarily Typescript/JavaScript land, and have written code in systems languages such as Rust and Zig.

I care about great UX, developer experience, documentation, rapid iteration and automating workflows with CI/CD (GitHub Actions, Bash scripts, etc).

Also familiar with modern development practices by leveraging coding agents, such as pi, opencode, claude and LLM, including kimi over fireworks inference.

Want to know more? https://punkbit.com

Remote: Yes

Willing to relocate: No

Technologies: Typescript, React, TanStack Start, Next.js, PostgreSQL, pgvector, Redis, Docker, Drizzle ORM, Zod, Zustand, TanStack Query, Tailwind CSS, Plasmo, Vite, Astro, Expo, AI SDK, Python, TensorFlow, scikit-learn, Pandas, Deck.gl, AWS, GCP

Résumé/CV: https://tomasmenezes.com/cv

Email: tomas.alexmp+hn@gmail.com

More info: https://tomasmenezes.com

I founded a real estate development+proptech company, exited an 8-figure gdv residential project and recently sold a decision-support saas for new-development underwriting.

Before that, I did ML research (session-based recsys, re-reranking, model selection optimization), product management at an early-stage vc, and built other end-to-end full-stack AI products that helped real estate brokerages and developers automate more than 150 hours per month in manual research and analysis workflows, more than doubling their project throughput.

Remote: primarily, willing to travel to meet and collaborate

Willing to relocate: no

Technologies: Python, Go, Kotlin, Java, Swift, TypeScript, AWS, GCP, Terraform, PostgreSQL, Redis

Résumé/CV: https://robinsiep.com/experience

Email: contact [at] robinsiep.com

I’m a senior engineer and software architect used to working with teams that are starting to strain under growth, complexity, or delivery pressure.

Over the last ~10 years I’ve been working with startups and established companies, primarily in roles where I take end-to-end technical responsibility: from system design through implementation and production operation, while remaining hands-on in delivery.

Recent work includes leading the architecture, implementation, and operational ownership of a distributed platform for venture capital workflows, as well as building and maintaining a survey fulfillment system. Both engagements included mentoring and coordinating engineers alongside delivery. More details can be found at https://robinsiep.com.

I'm currently interested in finding a more permanent role, but remain available for contract work in the meantime.

Location: Brasil (LATAM)

Remote: Preferred

Willing to relocate: Yes

Technologies: Python, SQL, Tableau, GCP, Google sheets

Résumé/CV: https://www.linkedin.com/in/tayzer-damasceno-bb140198/

Portfolio: https://public.tableau.com/app/profile/tayzer/vizzes

Email: tayzerdamasceno@gmail.com

Remote: Preferred

Willing to relocate: Maybe

Expert backend developer primarily focused on data engineering, mission critical/low latency/highly available systems, and AWS (certs: https://www.credly.com/users/jon-north.ad78f0c8). Happy to deal with greenfield or legacy or any mix of the two. I learn new things extremely quickly.

I prefer long term contract work, though I’ll help you with smaller things as well. W2 employment is a possibility if the fit is right. Whatever you’re doing with AI is also fine by me, and I’ll lead/adapt as appropriate.

Technologies: Python, C/C#/C++, SQL, NoSQL, Go, Golang, Docker, Git, Linux/Windows, Bash, Kafka, Redpanda, PySpark, Spark, AWS, Azure, GCP, Terraform, Kubernetes, Redis, Postgres, MySQL, SQL Server, SAP HANA, LDAP, Active Directory, OAuth2

Resume/CV: www.adiuvat-consulting.com

Email: jon.north@adiuvat-consulting.com

  Location: Georgia (country)
  Remote: Yes
  Willing to relocate: Maybe
  Technologies: TypeScript, Node.js, React, Swift, SwiftUI, C++, C, Electron
  Résumé/CV: https://drive.google.com/file/d/1UGbvB3FKtxMjK1Fxq8OKBvrNBrE7NGtR/view
  Email: afidrya81@gmail.com

Particularly interested in small teams where I can take ownership and ship complete products.

Based in Georgia and accustomed to working US Pacific hours.

Remote: Yes

Willing to relocate: Yes

Technologies: JavaScript, Cloudflare Workers, LLM integration, JSDoc

Résumé/CV: kol3x.com

Email: hackernews@kol3x.com

I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.

We worked with LLMs deeply, especially in code generation. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task.

I just released an open-source self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc

Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript, and practical LLM integration.

CV, LinkedIn, and GitHub are also linked at https://kol3x.com

Remote: Yes

Willing to relocate: Yes (visa ready for EU coutries, elsewhere might take a little longer, tho preferred(East Asia))

Technologies: Golang, Python, Nix, Octave, Docker, Kubernetes, Jenkins, Ansible, Forgejo, Arduino, Proxmox, Apache, Nginx, RabbitMQ, MariaDB, Checkmk, Debian, RHEL, AWS, GCP

Email: hn.devops.kiwvg@silomails.com

Résumé/CV: available upon request

DevOps Engineer with 4 years of experience in the field and 10 years of linux administration. Looking for DevOps/SRE/System Administration work. Interested in multinational corporations to get myself involed in high risk/reward situations, but smaller teams are completely fine as well.

Full-stack engineer, 8 years, front-end deep, CET. I take over live systems and restructure them without stopping the roadmap. At Jebbit (L'Oreal, AutoZone, NFL, ~1M sessions/hour) I led a four-month refactor that replaced a per-row style override system with one merged JSON schema, backwards compatible with both running in parallel. Currently on a consumer AI product where I own features end to end and took page load from 3s to 1.5s and a deep component from ~300 re-renders to ~10.

AI-native: I don't hand-write much anymore, I spec work and drive agents against it, and spend my time on judgment and review. Claude Code and Cursor daily.

  Location: Seattle, WA
  Remote: Remote/Hybrid/Office
  Willing to relocate: Yes
  Technologies: Python, Rust, Elixir, Go, TypeScript, PostgreSQL, AWS, ONNX
  Résumé: Available upon request
  Email: career@dylanjones.io
  LinkedIn: Available upon request
  Site: dylanjones.io

Remote: Yes

Willing to relocate: No

AI Product Engineering: full-stack AI systems, LangGraph/Chain, RAG

Technical: TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, GCP

Recent work includes:

• multilingual AI product (26 languages) for search automation

• AI-assisted incident intelligence platform for enterprise security teams

• multi-tenant account management platform (Life Alert providers)

• semantic video search using multimodal embeddings

• multi-agent systems integrating LLMs with internal data, docs, and APIs

Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.

Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.

LinkedIn: https://www.linkedin.com/in/jeff-borden/

Email: jborden13 [@t] gmail [dot] com

* Open to full-time, fractional, or advisory roles.

Remote: Yes. Looking for fully remote opportunities.

Willing to relocate: No, but open to occasional onsite visits (approximately once per month).

Technologies: Go, PHP, JavaScript/TypeScript, React, Node.js, SQL (MariaDB/MySQL), Docker, Linux, Nginx, Prometheus, Grafana, Elasticsearch, ClickHouse.

Résumé/CV: https://www.codexworker.com

Email: info@codexworker.com

Remote: Yes (Open to U.S. remote opportunities)

Willing to relocate: Yes

Technologies: Python, Java, JavaScript (ES6+), TypeScript, React, Next.js, Node.js, FastAPI, Flask, Django, Vue.js, Nuxt.js, C#, .NET, Spring Boot, SQL, PostgreSQL, GraphQL, AWS, Azure, GCP, Docker, Terraform, GitHub Actions, LangChain, LangGraph, LangSmith, AutoGen, OpenAI, Anthropic Claude, RAG, Vector Databases, Pinecone, n8n, Deepgram, LiveKit, Prompt Engineering

Résumé/CV: https://www.chrisouza.online/resume/

Email: christopherlitobu@gmail.com

Senior Software Engineer with 7+ years of experience building scalable backend systems, AI-powered applications, and cloud-native platforms. I specialize in AI agent orchestration, distributed systems, cloud architecture, and full-stack development, with extensive experience integrating LLMs into production workflows and delivering high-performance software solutions.

Location: Vermont, USA

Remote: Yes (open to travel)

Willing to relocate: No

Technologies: TypeScript, Node.js/Deno, PostgreSQL, Redis, AWS, React, Elasticsearch, Databricks/Spark, FFmpeg

Résumé/CV: https://en.masher.media/about.html

Email: hn.57@masher.media

I’ve spent about half my time in first/founding engineer roles at startups, and half working directly for clients, agencies, and institutions on a wide variety of products. Folks enjoy my enthusiasm for their ideas and my ability to meet them where they are technically, always providing that extra context that builds trust and understanding.

I’m comfortable owning concerns end-to-end, from initial scoping and architectural tradeoffs through deployment of functional prototypes and user testing. I enjoy iterating and scaling systems from there, while building teams to maintain and build upon them.

Expertise in database design, media rendering systems, engagement platforms, high-volume event ingestion, ML pipelines, and getting it all working in AWS. Top priorities are data integrity, security, and privacy.

Lean on me for:

- Technical scoping and planning for a new product or platform before committing resources

- Architectural review and data modeling to see how a system should flow and which tradeoffs matter

- Greenfield builds where you need someone to plan and ship v1 without much hand-holding

- Forward-deployed engineering, working directly with potential customers to help guide the product

Pragmatic about LLMs: effective for exploration, debugging, documentation, and tightly scoped implementation work when paired with strong engineering judgment and rigid testing.

Remote: No. SF onsite or hybrid.

Willing to relocate: No

Technologies: TypeScript, Node.js, Python, Rust, distributed systems, event-driven architecture, microservices, real-time systems, multi-tenant, WebSockets/streaming, NATS, AWS (EKS, ECS), GCP/Firebase, Kubernetes, Docker, Pulumi, PostgreSQL, Firestore, MongoDB, Redis, Elasticsearch, Prometheus, Grafana, agent orchestration, LLM integration, RAG, MCP, human-in-the-loop, LLM-as-judge, evals and observability, OpenTelemetry, fine-tuning (LoRA)

Résumé/CV: https://drive.google.com/file/d/13tDwa9HFDxqJVPsYg-9IhlwJ65k...

Email: skinner.cheng@gmail.com

Ava, a real-time captioning platform for one-on-one and group conversations, online and in person. 11+ years, zero to product. I co-founded it and was CTO, but the backend was mine throughout, first building it and later as Backend Lead. What that covered: the live captioning pipeline, where latency, accuracy, and reliability all had to hold at once. Drove the backend from a monolith into a monolith plus microservices plus serverless, over an event-driven layer, to keep service stable. An observability stack with Prometheus and Grafana, built from scratch. A datastore migration across 100K+ accounts with no downtime, running both databases live instead of taking a batch window. The subscription and enterprise licensing backend behind customers like Disney and Nike. Penetration test remediation three years running across four teams. On call for all of it. None of this was a fresh start. Everything was already running, with real users on it, and it had to keep running while I changed it.

How I work: most of what I've built started as a vague idea, and my job was making it specific enough for other teams to build against. I own my scope end to end, and once people start building, the spec always changes. That back-and-forth is where the design actually gets figured out.

Two projects I'm working on now:

Clearway: audits websites for accessibility and drafts the compliance report a specialist would write by hand. False alarms 43% to 23%, real issues caught 74% to 83%. My first AI reviewer scored well on my own gold set and near zero on the external W3C one, because it shared a rubric with the drafter. A second reviewer reading independently now catches 53% of those errors. Small-sample measurements, not proof.

VOX Personalis: fine-tuned Whisper with LoRA on my own Deaf-accented speech, because no off-the-shelf ASR handles it. WER 238.69% to 34.05%, now with sub-second streaming output. Next is sub-20% and on-device.

Communication style: I'm Deaf and work best with text-first collaboration, clear written specs, async updates, and captions/transcripts for meetings. This is how I've worked for 11 years, including with enterprise customers.

Looking for: Senior Backend IC, MTS, or Founding Engineer scoped to backend and agent infrastructure. Seed to Series B, applied AI, SF onsite or hybrid, full-time. Going deeper, not wider. I want to put a deep backend foundation to work on the part that’s hard: making a service reliable on top of an LLM that isn’t deterministic.

Remote: Yes

Willing to relocate: No

Technologies: React, Next.js, Node.js, Three.js, React native,

Portfolio:https://beaded-desk-2c0.notion.site/Portfolio-23ea526e5bbc40...

Email: kaths2651@gmail.com

Discord: kathan2651

Heya, I am a developer with 4+ years of experience working with React, Next.js and node.js. I have written some blogs about things I built.

I am always up for learning new things and applying it,if you are looking for someone who can be in your niche tech or something challenging,Then I am your guy.

Other than that, I love movies and books, mainly stories, world building, fantasy, and that would be awesome if I got a chance to work on anything in this

Interested in Job as well contract/freelance work.

Thanks :)

  Location: Florida, USA
  Remote: Preferred. 
  Willing to relocate: Under the right circumstances. 
  Technologies: JavaScript & Friends (Node, jQuery, React), C#, .NET, SQL/NoSQL, Python, Bash
  Email: faymatt96@gmail.com

Looking forward to hearing from you.

Senior Ruby/Rails engineer, 11+ years. My specialty is data-heavy Rails: making it fast, and making it correct.

- Partitioned PostgreSQL at scale — ~330M rows / ~220GB in production, entity resolution and duplicate-merging across 100M+ row tables - Query performance — 5–40x speedups by restructuring schemas and moving hot paths off Postgres onto OpenSearch - Billing engines — rebuilt one for ~10x faster calculation and ~50% smaller database (ActiveRecord→ROM), another for a 5x speedup on the bill pipeline - Recently — pgvector/RAG inside Postgres, LLM integration in Rails (RubyLLM, MCP tooling)

Likely a good fit if you have a Rails app outgrowing its database, a billing or usage-metering system that's slow or subtly wrong, or you want RAG without bolting on a separate vector DB.

Open to full-time or contract. 4+ hours of daily overlap with US East now; the Lisbon move in November adds 2 more. I invoice through a registered sole proprietorship with a W-8BEN on file — no US withholding under the treaty, nothing for a finance team to set up.

  Remote: Yes, remote only. Async-preferred.

  Willing to relocate: No

  Technologies: Rust, Python, C++/CUDA, C#/.NET, TypeScript, Go, Kotlin, SQL | PyTorch, Hugging Face, Burn, ONNX Runtime, llama.cpp, LiteRT-LM, Whisper | SQLite, Docker, Linux, Cloudflare

  Résumé/CV: https://github.com/IsaacLevinsky/resume

  Email: ilevinsky36@gmail.com

  I train small language models from scratch and ship them into production myself - on a single 8-year-old Quadro GP100 workstation, no cloud spend.

  - RustMind: a complete LLM training stack written from scratch in Rust on Burn - model, byte-level BPE tokenizer, corpus pipeline, GPU training. Ladder from 21M to 125M; the 21M encoder is trained to production quality and ships in
  software today. Public pipeline proof (MIT): https://github.com/IsaacLevinsky/rustmind-mini-embed-base

  - Root-caused a generation-collapse failure to non-stratified validation splits and over-memorized templated data, then rebuilt the corpus pipeline around document-aware chunking.

  - LookingGlass: zero-dependency Rust workspace-analysis engine. 3,441 files in ~47ms. Single binary, no Python or Node runtime.

  - Orion: C++/CUDA data engine. 1.15M rows in 1.276s (~901K rows/sec).

  - 17 offline-first apps published across Google Play, Amazon, and Samsung - native C#/.NET Android, on-device Whisper and ML Kit, no ads or accounts: https://play.google.com/store/apps/developer?id=MCMLV1+LLC

  - Live AI in production on three surfaces, including a chatbot on mcmlv1.com running on my own hardware.

  Give me a constraint, a spec, or just a problem, and I design and deliver the whole system end to end. Full-time or contract.

Remote: Yes, or hybrid if nearby

Willing to relocate: Possibly

Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data

Résumé/CV: https://www.geary.com/resume.html or https://www.geary.com/resume.pdf and https://www.linkedin.com/in/michaelgeary/

Email: mike@geary.com

Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:

• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.

• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.

• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.

• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.

• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.

Open to full time or contract.

I look forward to talking with you!

  Location: Brazil at the moment, nomadic
  Remote: Yes
  Willing to relocate: Maybe
  Technologies: PyTorch, Deep Learning, LLM,  Diffusion models, NumPy, JAX (a bit), CUDA, C/C++ | SvelteKit, TypeScript, tailwind, drizzle | Linux (25 years), AWS, Docker, yada, yada, common sense
  CV: https://alexey.work/cv?ref=49156682
  Email: alexey.zaytsev@gmail.com

I fluctuate between:

- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.

https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy

https://github.com/xl0/tidygrad https://github.com/xl0/latent-tools https://github.com/xl0/nvml-tool

- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).

https://chat.congusto.ai/chat https://lovely-docs.github.io https://pelican.alexey.work/gallery

In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen: https://alexey.work/cv?ref=49156682&view=full

I built and operate a 106k+ LOC production SaaS on Next.js 15, Supabase and Stripe — solo. Zero "any" types in the whole codebase, 743 passing tests.

What I'm actually good at is the part that breaks after launch: the webhook replay, the downgrade that never revokes access, the export gated only in the browser, the URL fetch that can reach your metadata endpoint. I've put my own codebase through repeated adversarial audits and can share a redacted report — real findings, real severities, subject anonymised.

Available ~20-30 hrs/week, UTC+0 — good overlap with European hours and US mornings. Contract or fixed-scope. I also do fixed-price pre-launch audits (security, billing correctness, data exposure) if that's more useful than hourly.

Remote: Yes

Willing to relocate: No

Technologies: Rust, Golang, Python (Django, Scikit-learn, Pandas), PostgreSQL, Clickhouse, Elasticsearch, Docker, GCP.

Résumé/CV: Reach out and I’ll send a detailed version

Email: check my profile

Senior Software Engineer with 11+ years of experience building and scaling distributed systems.

My career has spanned high-growth startups, successful acquisitions, and major enterprise research labs.

Remote: Preferred.

Technologies: AWS, EKS, GitHub Actions, crossplane, Terraform, Azure DevOps, EC2.

Resume/CV: linkedin.com/in/lsdir

Email: elliotechne42@gmail.com

GitHub: https://github.com/autotune

Technologies: Agentic Engineering (Claude, Codex, Cohere, Voyage, Mistral, LangChain, LanceDB, LLaMA, Mistral), C/C++/Rust/Node/Typescript/React/Python, Azure/AWS/Docker/K8S, DevOps tooling, ML/BigData/Search tooling ... and much more

Résumé/CV: https://www.artifixsolutions.com?sid=hn202608. Email: lajos [@] artifixsolutions.com

WHO: Technology Polymath. Agentic context & harness engineering.

WHAT: Whether human or AI built, I know how systems break. I build them so they don't. After three decades of battle-tested experience there isn't a failure mode I don't know how to fix. When it comes to AI, I design and architect systems using my own rigorous engineering approach that insures consistent delivery and drift control.

SAMPLE WORK:

  ** Recent agentic builds: 
    - multi-server streaming service (NodeJS, Typescript, Postgres, Claude Code, Codex, custom agentic harness)
    - DevOps deployment tooling (Terraform, CI/CD)
    - DevOps observability platform with RAG pipelines (InfluxDB, LangChain, Claude CodePython, NodeJS)
    - RAG ebook build pipeline for a publishing company (Cohere, OpenAI, Voyage, Mistral, LanceDB, LLaMA)
  ** API-enabled SaaS platform using Solana smart contracts (Rust, Codex)
  ** AI-built mobile & desktop app development (NodeJS, React, C++/QT)
  ** Azure architecture & DevOps for a banking compliance company
  ** Ethereum L1 packer-based automation 
  ** Global multi-cloud, Kubernetes-based PaaS cloud design and DevOps for an IoT data platform
  ** Custom architecture & development for startups and specialised cloud models

Location: Canada

Remote: Yes

Technologies: C, OpenBSD

I'm looking for monthly/yearly "no-strings" sponsors, not employment, if any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me (see HN bio).

https://brynet.ca/wallofpizza.html

(Native SegWit): bc1qwe6zv0ezq4gzlea6tw45qhsn5kckheljn0krvt

Location: Kyiv, Ukraine. Remote: Yes. Willing to relocate: No.

Technologies: Angular (AngularJS, v13 > v21), React, Next.js, Vue, TypeScript, RxJS, Node.js, PostgreSQL. 6+ years across fintech, healthcare, and marketing SaaS.

Full-cycle development or targeted fixes — whichever the project needs. I ship clean work in complex production codebases without breaking the rest.

LinkedIn: https://www.linkedin.com/in/denys-derkach

Resume/CV: https://drive.google.com/file/d/1npiW3bEzxLh11KPqQFHlouvDxQR...

Email: podstavka128@gmail.com

Technology and security leader, first engineer to CTO and CISO over 8+ years at a healthcare ePRO startup. Built the platform from the first line of code to a secure, audited system serving ~100K users at 99.9% uptime. Led ISO 27001:2022 certification from scratch in 6 months with zero major nonconformities. Clean record: zero security incidents, 100% audit pass rate across HIPAA, GDPR, and FDA 21 CFR Part 11. Hired and led a 10-person eng team. Cut infra cost ~66% via an AWS to OCI migration.

Good fit if you need someone to stand up a security and compliance program, get audit-ready to unlock regulated or enterprise deals, or provide senior engineering leadership without a full-time hire.

Technologies: AWS, Oracle Cloud, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, backend APIs, iOS/Android, healthcare interoperability (HL7/FHIR/DICOM)

Résumé/CV: https://www.linkedin.com/in/armandomonroys/ Email: armando [at] kirinlabs.net

Remote: Yes (Worldwide)

Willing to relocate: No

Technologies: Angular, Java, Spring Boot, REST APIs, LLM Engineering, Microservices, TypeScript, JavaScript, React, Node.js, SQL, AWS (EC2, S3), Git, CI/CD, Playwright, JUnit, AI Agents, RAG, MCP, Power Platform

Resume: https://drive.google.com/file/d/1VS9YQ6Hvz3Pw62RSjwQa7fe-Imy...

GitHub: https://github.com/harshvardhan-vhatkar

LinkedIn: https://www.linkedin.com/in/harshvardhan-vhatkar/

Email: harshuvhatkar@gmail.com

Software Engineer with 3+ years of experience building frontend applications, backend services, automated testing pipelines, and AI-powered developer tools. At my current company, I've improved Angular applications, built Spring Boot microservices with 100% unit test coverage, automated Playwright regression testing (reducing execution time from 2 hours to 30 minutes), and developed an AI-powered MCP server that generates Playwright tests from natural language, reducing test authoring from 45 minutes to under 2 minutes per spec. I enjoy building products end-to-end rather than working on isolated tickets. Recently I've been focused on AI developer tooling, RAG pipelines, MCP servers, and LLM-powered automation alongside traditional backend development. Some highlights:

• Spring Boot microservices and REST APIs • Angular, React, Next.js, Node.js • AI Agents, MCP, RAG pipelines, vector databases • Playwright automation and developer productivity tools • AWS, CI/CD, SQL

I'm looking for a remote backend, full-stack, or AI engineering role where I can own features, work closely with a product team, and build software that ships to users. Startups and product companies are especially interesting.

If you're looking for an engineer who enjoys solving problems, automating repetitive work, and shipping production-ready software, I'd love to talk.

Remote: Preferred

Willing to relocate: No

Technologies: C, C++, Java, JavaScript/TypeScript, Ruby, Python, Lisp (if I can get it), PostgreSQL, Kafka, AWS, Docker, AI integration (esp. MCP)

Résumé/CV: Available upon request

Email: bitwize@gmail.com

I'm Jeff, an experienced developer with pretty broad experience. I've done things like robotics control software and video processing software, all the way up to scalable enterprise applications and big-data ETL automation. In my free time I write games, language runtimes, and hack the NetBSD kernel for fun. I freakin' love to program, and I love crafting straightforward, effective solutions that serve the user.

Remote: Yes

Willing to relocate: No

Technologies: Python, web scraping and data extraction, ETL pipelines, Playwright, BeautifulSoup, Tesseract OCR, PostgreSQL, SQLite, pytest, GitHub Actions, Astro, Cloudflare Pages, C / ESP-IDF, NumPy

Résumé/CV: https://braedenkeena.pages.dev

Email: braeden@thekeenas.com

I build data pipelines that know when they're lying to you.

GAScout (https://gascout.pages.dev) — Georgia public-records pipeline. Four counties live, each a different ingestion problem resolved into one schema: a 9,915-page fixed-width mainframe PDF (409,142 records, zero dropped rows), a weekly XLSX roll, monthly text PDFs, and scanned sheriff's levy documents via OCR. Adding a county is a config file, not code. The other 155 are labeled planned rather than filled with invented numbers.

FindStorage (https://findstorage.pages.dev) — national self-storage pricing tracker. 4,639 locations, 245,000+ price changes logged, running unattended on a daily schedule. Aborts rather than publishing when the store count moves more than it should, because the failure that costs you isn't a crash — it's a scraper quietly returning less after a site changes and nobody noticing for three weeks.

Also built a WiFi CSI device-fingerprinting array on ESP32 — custom ESP-IDF firmware and a Python DSP pipeline, running as my apartment's security system. Cross-manufacturer separation holds at 11-15 sigma; same-model discrimination tops out near 77% and true clock twins are the open problem.

Before this I ran a 500-acre motocross park in Northern California: acquired dormant land, re-entitled it, directed a 120-person race-day crew, ran the medical plan through a mid-event helicopter evacuation, and sold my stake.

Self-taught, ~18 months in. Interested in data engineering, pipeline work, and anything where messy real-world sources have to become trustworthy structured data.

Remote: Yes (worldwide — 2pm–11pm IST, overlapping full EU business hours plus US-East mornings)

Willing to relocate: Yes

Technologies: Python, C/C++, Docker SDK (Sandboxing/cgroups), LangGraph, Numba JIT, POSIX, FastAPI, WebSockets, Thread-Safe Queues, SQLite (WAL), Linux

GitHub: https://github.com/sriramvarun0636

LinkedIn: https://www.linkedin.com/in/sri-ram-varun-dittakavi-4103a428...

Resume/CV: https://drive.google.com/file/d/1XXZ-d2hf8wEJYx0O-kX310qkeHr...

90s Sandbox Demo: https://www.loom.com/share/104cf5ebcfc144a09f49c62830755408

Email: sriramvarun636@gmail.com

I build the systems plumbing, concurrent pipelines, and secure runtime isolation that AI coding-agent startups are racing to ship. Happy to prove it directly on your codebase first — I'll take on a 2-3 week paid trial sprint on a real backend bottleneck before any longer-term conversation.

Computer Science Engineer (MNNIT Allahabad). Formerly Software Engineering Intern @ DeeveloX (preprocessed 5GB+ vector search datasets with Gemini APIs).

Recent High-Agency Projects:

• AutoPatch-AI (https://github.com/sriramvarun0636/AutoPatch-AI): Autonomous, self-healing code remediation agent built on a LangGraph state machine. Engineered a zero-trust Docker execution layer (network_disabled=True, 256 MB RAM / 128 PID cgroup hard limits), streamed real-time telemetry over thread-safe queues via SSE, and built an AST-based line-level parser (cutting context/generation bloat by ~80%). Achieved a 100% resolution rate (5/5) on a custom Micro-SWE-bench harness with an average time-to-resolution of ~205 seconds.

• SentinelPrime (https://github.com/sriramvarun0636/SentinelPrime): Multi-threaded, regime-aware options trading system for live WebSocket market data. Releases the CPython GIL during numerical computations using Numba JIT compilation (nogil=True) and an Actor Model architecture over daemon threads to isolate DB I/O and API calls. Built thread-safe O(1) queues and fixed-size circular memory buffers to eliminate allocation overhead under 24/7 continuous operation.

• HydraPrime (https://github.com/sriramvarun0636/HydraPrime): Systematic XAUUSD strategy in MQL5 (C++ derivative), developed and iterated solo over two years — OTE/Fair-Value-Gap structural entries with ATR-adaptive sizing and multi-layered drawdown circuit breakers. Backtested across 96M+ real ticks over a single two-year window (2024–2026) that included a strong gold bull run: 1.37 profit factor, 13.8% max drawdown, 252% net return. Not yet forward-tested live, so I hold that return number loosely until it survives a different regime.

What I'm looking for: Backend/infra/agent-systems roles at early-stage teams, pre-seed to Series A — founding engineer or engineer #2–5, wherever you're at. Standard interview loops work fine too, not just trial sprints.

Willing to Relocate: Yes, to Barcelona, Roma, Hamburg, Koln, Den Haag, Amsterdam, Rotterdam, Stockholm or Switzerland.

Full Remote: Yes. I offer a discount for full-remote work, because it saves me the hassle of relocation and commuting :)

Technologies: Go, Rust, C, Elixir, JavaScript, TypeScript, Python, web technologies (HTML/CSS, frameworks, browser APIs), Bash, Zsh, Fish, Linux, FreeBSD, MySQL, SQLite, PostgreSQL, Redis, Kafka, Docker, mathematics

Email: achenet@fastmail.com

Website: https://arielche.net/

I am a software developer and researcher with half a decade of experience and a Master's degree in mathematics. I have ample experience with Golang in a professional context often on backend services like REST APIs and programs interacting with databases and message queues, am fairly proficient with a variety of other languages and technologies, and am comfortable working on a variety of domains, from accounting/financial management/CRM software, to IaaS products, to scientific and mathematical software and language apps. I enjoy learning, and am always open to learning new things, especially if they happen to ignite my curiosity.

I like free or open-source software, systems programming, web services and the infrastructure required to run them at scale and would love an opportunity to continue to contribute to and learn about them. I enjoy mathematics and quantitative research like biology, engineering and physics. I enjoy writing, and in particular writing documentation for software, educational content, and research.

I am happiest working with people who are open-minded, conscientious and kind, and I try very hard to always embody those qualities.

I am open to both full-time employment and contract work. I am a French citizen and can work freely anywhere within the EU.

Compensation for in person work is location-dependent, and more expensive than full-remote work, due to the extra work involved (physical, moving things around in meatspace work, not just pushing bits around cyberspace). That said, I do really enjoy being in nice offices and hanging out with the team while working, and also really enjoy occasional "team in-person meetups" even when working in a full-remote context.

Remote: Yes

Willing to relocate: No

Email: logandark@logandark.net

Technologies: I am full-stack and have been almost everywhere in the consumer market:

- Rust, TypeScript/JavaScript/Node.js/Bun/Deno, Swift/Obj-C, C/C++, Python, Go, C#

- Windows, Linux desktop/server, macOS/iOS, some BSD (mostly from macOS)

- Tokio/Rayon, React.js/Svelte/Angular, SwiftUI/some AppKit, wxWidgets, Asyncio/Twisted

- Desktop, embedded, web, backend, some mobile (mostly iOS)

- Burn, GGML, NumPy, some JAX, some Mojo, some MLX

Rust is definitely my favorite and TypeScript is up there as well.

At my last company, I worked on developer experience and performance optimization. The one before that on user experience and polish. I work best on storms of small things, tend to get wrapped up on big projects.

I am fully self-taught, have been doing this for over 10 years & have a beefy personal machine (macOS or Windows). I have about 3 years of professional experience. I am available to interview immediately and can start immediately. Contact me with anything.