I build machine learning models at Waymo and make the simulation more realisitc.

My Journey

My path started with competitive programming as a physics and math student at MIPT. I took a gap year to participate in Google Summer of Code, where I built tools to detect duplicate code in open-source projects - work that caught Google’s attention and launched my career.

At Google, I worked on making C++ development faster and more reliable. I built many features for clangd, including search engine that made code completion 100x faster, include cleaner and renaming engine. Beyond the technical work, I became the team’s unofficial product manager - running user interviews, analyzing feedback, and shaping our roadmap to serve millions of developers worldwide.

At Waymo, I work on machine learning models for autonomous vehicle simulation. My team focuses on making simulations more realistic, robust, and performant to help ensure the safety of self-driving systems. It’s challenging work at the intersection of ML and safety-critical systems.

Beyond Code

I really enjoy learning something new - practicing Jiu Jitsu techniques, exploring the chess openings, or traveling to new places. I speak English, Russian, and German and share my home with three crazy Abyssinian cats.