Building practical AI systems in the real world.
I build AI systems that run outside the lab on real hardware, in real environments, with real constraints. My focus is on computer vision, edge AI, and physical systems where latency, cost, and reliability actually matter.
I care about making AI practical, reproducible, and understandable. If it only works on a beefy GPU in a notebook, it's not done yet.
Co-Founder
Digital twins, simulation, and AI for physical systems.
Data Engineer
HPC infrastructure and machine learning pipelines at scale.
Docker Captain
Community leadership, containers, and developer tooling.
Local-first, AI-assisted circuit design. Wire components in 3D, describe what you want, and the agent writes the ESP-IDF firmware and simulates it - all before you touch a chip.
A Claude Code skill that turns plain English into 3D models - build123d Python under the hood, rendered live in your browser.
YOLO training templates, matrix-vision app, real-time detection demos.