Mikhail Sirotenko is a technical lead manager with 14 years of experience building and shipping computer vision and multimodal AI at product scale, currently leading a research team at Google DeepMind on Gemini video. He has a strong track record founding and scaling research teams—from a stealth startup (Eight) acquired by Google to founding the first AI group at Samsung R&D Russia—and has managed mixed teams of researchers and engineers at Amazon. His work spans deep learning for object classification, medical imaging, optical flow, recommendation systems, and applied vision research that moves models into production. PhD-trained in system analysis and control, he combines rigorous academic grounding with hands-on GPU and systems engineering from early CV library development through large-scale deployment. Based in New York, he is known for translating exploratory research into practical Google-scale products and for shepherding acquisitions and team growth across industry and academia. An underappreciated strength is his longevity across the full AI stack—from embedded robotics vision to multimodal video models—giving him a rare end-to-end perspective.
14 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) System analysis control and information processing, Doctor of Philosophy (Ph.D.) System analysis control and information processing at Taganrog State University of Radioengineering
Contributions:13 commits, 1 push in 3 years 10 months
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Mikhail Sirotenko - Technical Lead Manager at Google DeepMind