I work on silicon power/performance modeling and simulation, and the infrastructure and tooling around them, primarily in C++ and Python. My experience spans CPU, SoC, and multi-chip designs, including automotive. Earlier work includes FPGA-accelerated microprocessor simulation and publications on modeling methodology. The projects below cover local-first processing, reproducible builds, refactoring exercises, and technical publishing.
- webinar-transcriber: local-first CLI that turns webinar audio and slide videos into transcripts, reports, and diagnostics
- cpp-boilerplate: C++23 project template with Conan 2, CMake presets, sanitizers, coverage, and CI
- Coding Cuddles: C++ and Python katas for practicing clean code, refactoring, and test-driven development
- pandoc-minted: Pandoc filter for typesetting code with minted in LaTeX output
- math-rus-eng-cheatsheet: English mathematical writing reference for Russian speakers