Summary
Sergei Smirnov is an AI safety researcher and research engineer with a decade of experience delivering ML systems from prototype to production, currently pursuing a PhD at the University of Helsinki and serving as a Research Fellow in multiple AI safety programs. He has driven measurable impact—accelerating R&D timelines from years to weeks in biotech, improving model-driven yields by 30%, and scaling ML data pipelines 5x through distributed engineering. Comfortable working solo or in teams up to 15, he blends product-facing work (requirements, analytics) with low-level GPU cluster setup, ML architecture and open-source contributions to distributed ML tooling. A decorated math and programming olympiad winner who mentors students and built a widely rated ML course, he brings rigorous theory, practical engineering, and a focus on safety and interpretability to high-stakes AI problems.
10 years of coding experience
3 years of employment as a software developer
Technical AI Safety Bootcamp based on ARENA curriculum, Technical AI Safety Bootcamp based on ARENA curriculum at ARENA (FAEB)
Bachelor of Science - BS, Computer Science, with honors, 3.9 out of 4.0, top-5 student, Bachelor of Science - BS, Computer Science, with honors, 3.9 out of 4.0, top-5 student at ITMO University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Helsinki
Master of Technology - MTech, Computer Science, with honors, 3.8 out of 4.0, Master of Technology - MTech, Computer Science, with honors, 3.8 out of 4.0 at LUT University
English, Finnish