Leonid Pishchulin is a Principal Applied Scientist at Amazon with 12 years of experience bridging academic research and production ML systems. He earned a PhD-level research background from the Max Planck Institute, where he advanced articulated human pose estimation, 3D human shape modeling, and activity recognition from monocular video. At Amazon since 2015 he progressed from Applied Scientist to Principal, translating cutting-edge computer vision research into scalable applications. Leonid combines deep probabilistic and geometric modeling expertise with practical experience in learning from synthetic data, a less obvious strength that helps tackle scarce-label problems in human-centric vision. Based in Seattle, he brings both rigorous research instincts and product-focused delivery to complex perception challenges.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Max Planck Society
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at RWTH Aachen University
National University of Science and Technology "MISIS" (Moscow Institute of Steel and Alloys)
Contributions:10 pushes, 1 branch in 1 year 8 months
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Leonid Pishchulin - Principal Applied Scientist at Amazon