I build the systems plumbing, concurrent pipelines, and secure runtime isolation that AI coding-agent startups are racing to ship.

AutoPatch-AI: An autonomous, self-healing code remediation agent built on a LangGraph state machine. I engineered a zero-trust Docker execution layer (network_disabled=True, 256 MB RAM / 128 PID hard limits), streamed real-time telemetry over lock-free thread queues via SSE, and moved from full-file diffs to Search/Replace block patching, cutting generation overhead 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. GitHub: https://github.com/sriramvarun0636/AutoPatch-AI

SentinelPrime: A multi-threaded, regime-aware options trading system for live WebSocket market data. Built using an Actor Model architecture over daemon threads to isolate database I/O and broker API calls, with an asynchronous Token Bucket rate limiter and atomic SQLite (WAL) persistence. GitHub: https://github.com/sriramvarun0636/SentinelPrime

HydraPrime: A systematic XAUUSD trading EA in MQL5. Backtested (not live) over two years on 96M+ real ticks, achieving a 1.37 profit factor, 13.8% maximum drawdown, and 252% net return. GitHub: https://github.com/sriramvarun0636/HydraPrime

B.E Computer Science undergrad at NIT Allahabad (Class of 2027).

Looking for a founding or early-stage software engineering role on an AI-agent, developer tool, or high-performance backend systems team. Open to full-time or contract opportunities.

  Location: Mexico.
  Remote: Yes.
  Willing to relocate: Yes, maybe in the future.
  Technologies: Java, SQL, HTML, JavaScript.
  Résumé/CV: https://www.calebjosue.com/documents/CalebRuiz__CV__Mid2026.pdf
  Email: calebjosue-dev@outlook.com

  Location: San Francisco
  Remote: Yes
  Willing to relocate: No
  Technologies: TypeScript/JS, React, node.js, Redis, Postgres, pgvector, LLM agents, Cloud (AWS/GCP/Azure), ci/cd pipelines, other tech
  Résumé/CV: on request
  Email: charles@geuis.com

Role: Principal Software Engineer / Systems Architect.

Contracts: Depends.

Remote: Yes.

Hybrid: Yes.

Willing to relocate: Depends.

Technologies: C/C++, C#, Win32, Linux, POSIX, SQL, etc.

Projects: Tcl/Tk, Eagle, SQLite, System.Data.SQLite, Fossil SCM, Comdb2, etc.

Profile: https://w.sb/r/profile

Manifesto: https://w.sb/r/manifesto -- Please read this manifesto before reaching out. It nicely captures what I believe about software engineering. If you find it unreasonable, that is a useful signal to both of us.

Affiliations: Tcl/Tk Maintainer ( https://w.sb/r/tcl ), Formerly SQLite Development Team ( https://w.sb/r/sqlite )

Side Project: https://w.sb/r/code and https://w.sb/r/eee and https://w.sb/r/docs and https://w.sb/r/lsp

Resume/CV: https://w.sb/r/resume -- Fourteen years on the SQLite Development Team, four years on the Comdb2 team at Bloomberg, and a Tcl/Tk Maintainer since 2002.

Code that I have written or helped maintain runs on more devices than I can count, quietly driving production tooling, test infrastructure, network equipment, and embedded systems at companies you know. If your team needs that kind of multi-decade rigor, we should talk.

Email: [put_my_first_name_here] [at] [put_my_user_name_here] [dot] com

Phone: Please see "https://www.mistachkin.com/" for detailed instructions.

Note: All links here will redirect using my custom redirector.

Remote: Yes

Willing to relocate: Yes

Technologies: JavaScript (Node.JS/React.JS), Python (Django), Golang

Résumé/CV: https://www.linkedin.com/in/alex-ahn-95ab3444

Email: contact at home dot alexahn dot com

  Location: Bishkek, Kyrgyzstan
  Remote: Yes (US or EU time zones if needed)
  Willing to relocate: Yes
  Technologies: Java, Zig, C, Python, Common Lisp, PostgreSQL, ClickHouse
  Résumé/CV: upon request
  Email: ska80 [at] gmx [dot] com

Remote: Yes

Willing to relocate: No

Technologies: Full stack, .NET to client side (React/Vue/Typescript), SQL server, Postgres, Azure, etc

Résumé/CV: https://cv.pknopf.com/

Email: pauldotknopf at gmail

Technologies:

Machine Learning / AI: Python, PyTorch, TensorFlow/Keras, Transformers, Diffusion Models, Time-Series Modeling, Computer Vision, Anomaly Detection, Open-Set Recognition, Model Evaluation, Experiment Tracking, Statistical Learning

Generative AI / LLMs: RAG, Retrieval Systems, Embedding Search, Agentic Workflows, LLM Evaluation, Prompting, OpenAI APIs, Hugging Face, LangChain-style Prototyping

Software Engineering: Python, C++, TypeScript, Kotlin, FastAPI, REST APIs, PostgreSQL, MongoDB, Data Processing Pipelines, Distributed Systems, Reproducible ML Infrastructure

Computer Vision / Scientific Computing: OpenCV, Image Registration, Motion Compensation, Segmentation, Image Reconstruction, Signal Processing, Scientific Imaging

Infrastructure / MLOps: Docker, GitHub Actions, CI/CD, Monitoring, Runtime Tracing, Performance Analysis, Cloud-Based ML Workflows

Résumé/CV: https://shorturl.at/59Qfy LinkedIn: https://www.linkedin.com/in/monish-erode-sridhar-7a1b16198/ Email: [monish2work@gmail.com]

M.S. Computer Science student at North Carolina State University, GPA 3.83/4.0, GSSP Fellow, with experience across machine learning, software engineering, computer vision, ML infrastructure, generative AI, scientific computing, and applied data science.

I have built large-scale ML pipelines, experiment-tracking platforms, model-evaluation systems, anomaly-detection workflows, and reproducible ML infrastructure for real-world time-series and imaging data. My work includes computer-vision pipelines for fluorescence microscopy, confidence-aware time-series classification, diffusion/transformer-based scientific imaging research, and real-time wearable-sensor ML for Samsung Galaxy Watch.

I am especially interested in roles where I can build production-grade AI systems: applied ML, AI engineering, backend/data infrastructure for ML, computer vision, LLM/RAG systems, agentic AI tools, data science, and model evaluation platforms.

Interested in: Software Engineer, Machine Learning Engineer, AI Engineer, Applied Scientist, Data Scientist, Computer Vision Engineer, Generative AI Engineer, and ML Infrastructure roles. Open to startups and larger companies.