I'm a data scientist and engineer specializing in production ML infrastructure and computer vision systems. I architect and maintain data pipelines, build training frameworks for CV models deployed on edge hardware (AGX systems, high-performance compute clusters), and handle the full stack—from bare-metal provisioning and network configuration to application development in Python. My work spans distributed systems, containerization, and building tools that prioritize reliability and developer experience.
More about my background
I develop and maintain data pipelines and the tooling around them, and I build CV model training utilities used in UAS/USV contexts. I also handle hardware installs and administration on AGX100 servers and high-performance SuperMicro systems at local data centers—covering provisioning, networking, and day‑to‑day operations. For fun I like to learn new technologies, experiment with small projects, ski, and play games. I primarily work on Ubuntu/RHEL in Python and occasionally dabble in web development. I’m currently learning Elixir and C++ for Unreal Engine.
Apart from coding and learning, I maintain a blog for personal projects and technical notes.
Generate dynamic mosaic wallpapers from your Steam library. Dockerized Flask app with async fetching, caching, and NGINX. steamwallpaper.com
Utilities and guardrails for staying on Windows 11 23H2. Focused on control, stability, and repeatability.
