Yan Kaganovsky is a senior research scientist and hands-on AI leader with nine years of experience building production-grade computer vision systems, now at NVIDIA after leading foundational vision-model efforts at Intel. He combines deep academic rigor—a PhD in Electrical Engineering and a history of peer-reviewed publications—with practical expertise across the full AI lifecycle: data collection and curation, annotation, training, deployment, and scaling. His work spans neural rendering and 3D reconstruction for metaverse services, facial authentication that ranked in NIST competitions, lidar scene understanding, skeleton tracking, and synthetic data generation using GANs and Unreal Engine. He has repeatedly moved research into product: architecting pipelines used as cloud services and technically leading cross-functional teams of scientists and engineers. Based in Israel, Yan pairs signal-processing and physical-modelling roots with modern deep learning to solve sensor-fusion and perception challenges that require both principled modeling and pragmatic engineering.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at Tel Aviv University
Master of Science (M.Sc.) Electrical and Computer Engineering, Master of Science (M.Sc.) Electrical and Computer Engineering at Ben-Gurion University of the Negev
Contributions:19 commits, 18 pushes, 1 branch in 1 day
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Yan Kaganovsky - Senior Research Scientist at NVIDIA