I am Chris, a developer focused on full-stack engineering with a backend and data systems tilt. I enjoy projects where the product depends on good architecture: clear APIs, thoughtful data modeling, reliable deployment, and interfaces that help people move faster.

I have worked on graph-backed prompt tooling, internal workflow software, ML/data analysis over large records, reinforcement learning agents, research automation, and deployed web applications for real communities.

Teaching and tutoring are also part of how I think. Explaining a concept forces me to make the structure visible, and that carries into how I write documentation, design APIs, and communicate project tradeoffs.

Away from code, I like interests that reward patience and pattern recognition: chess, football, and violin. They keep showing up in the way I approach engineering: practice the fundamentals, read the position, and keep tempo.