AI / LLM Engineer & MLOps - Python Go Rust

I’m a UNIX systems and network programmer with 15+ years of experience in DevOps, AI/ML, and secure infrastructure design. My expertise spans backend development (Golang, Python, Rust), AI stack implementation, and building tools that bridge human and machine intelligence.

Key Expertise:

• Deep Learning: Udacity Deep Learning Nanodegree; applied neural networks to real-world problems

• Systems Architecture: Secure, scalable deployments with Docker, Rust, and Go

• AI Research: Contributions to LangChain, PySyft, and LocalAI; focus on LLM optimization and ethical AI

• AI/ML Systems: I run a self-hosted AI docker stack (Ollama, llama.cpp, localai, comfyui) on dual RTX39090 GPUs; custom LLM integrations and agent frameworks.

• Full-Stack Development: Backend services, APIs, CLI tools, Dev Ops, heterogenous tech stacks.

Notable Open Source Projects:

• Instrukt: AI agentic terminal interface using LangChain for secure, interactive AI workflows (python)

• codegpt-ng.nvim: neovim AI plugin connecting with backends like Ollama and OpenAI. (lua)

• Gosuki: Multi-browser bookmark manager with real-time plugin architecture (golang)

• PSWatch: Rust-based system process watcher with custom rule engines (rust)

What I Bring:

• Comfortable in terminal/code editor, shipping production-grade solutions

• Adaptable to any stack—identify problems, design systems, and deliver results

• Passionate about AI ethics, privacy-preserving tech, and open-source collaboration

• Curious about blockchain tech (e.g., Bitcoin’s cryptography, decentralized systems)

Remote-First Focus:

Looking for remote AI/ML consulting roles where I can leverage my systems mindset to build robust, scalable solutions. Let’s collaborate on projects that push the boundaries of AI and infrastructure.