Sasha Kuznetsov is a Senior Research Software Engineer in Mountain View with 11 years of experience blending applied physics and software to solve low-latency, estimation, and perception problems. At Google he has moved from embedded and location frameworks into applied AI research, shipping patented ML models for image/video processing and advancing indoor location and GNSS/kalman-filter work. He combines deep signal-processing and Bayesian state-estimation expertise with hands-on systems skills across C/C++, Android, and real-time platforms, enabling robust production pipelines. Trained in engineering physics with an AI certificate from Stanford, Sasha gravitates toward hard quantitative challenges spanning robotics, finance, and crypto where physics-informed ML and latency-conscious engineering intersect. A detail that often surprises collaborators: he has both reverse-engineering and device-driver experience from optical networking work, giving him rare visibility from silicon to cloud.
10 years of coding experience
11 years of employment as a software developer
High School Diploma, High School Diploma at West Carleton Secondary School
Bachelor of Applied Science (B.A.Sc.) First Class Honours Engineering Physics with Computing Option, Bachelor of Applied Science (B.A.Sc.) First Class Honours Engineering Physics with Computing Option at Queen's University
Artificial Intelligence Graduate Certificate, Artificial Intelligence Graduate Certificate at Stanford University
Contributions:26 PRs, 37 pushes, 2 branches in 2 months
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Sasha Kuznetsov - Senior Research Software Engineer at Google