I build backend systems that are fast, stable, and easy to maintain. I value simple solutions over clever code, and clear architecture over a long list of tools.
- Backend Engineering: Writing clean microservices and data pipelines. I primarily work with Python, Go, and Rust.
- Applied AI: Setting up local AI infrastructure—focusing on LLM inference optimization, RAG, and model quantization.
- Robotics: Designing structural and control software for autonomous robotic systems.
- Brownie Studio: Building robust digital infrastructure and software products for complex businesses.
- Open Source: Contributing to local LLM tooling and developer workflow automation.
Instead of a wall of flashing badges, here is the core stack I actually use to solve problems:
| Category | Tools & Technologies |
|---|---|
| Languages | Python, Go, Rust, C++ |
| Infrastructure | PostgreSQL, Redis, Docker, gRPC, FastAPI |
| AI / Machine Learning | vLLM, Ollama, PyTorch, LangChain |
"Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make things worse: complexity sells better." — Edsger W. Dijkstra


