Vijay Veerabadran is an AI research scientist at Meta Reality Labs with 11 years of experience building learning systems that teach robots complex manipulation skills via deep imitation and reinforcement learning. He completed a PhD in Cognitive Science at UC San Diego where his work bridged human and machine vision, including computational models of early visual perception and evaluations of large multimodal foundation models for egocentric goal inference. His internships and collaborations span top labs—Facebook AI, Google Brain, Qualcomm, and Brown—where he contributed to self-supervised representation learning, biologically inspired neural modules, and generative video modeling. Based in Menlo Park, he combines rigorous academic training with hands-on production research, moving ideas from cognitive models and publications to deployed robot learning experiments. Outside core research, his background suggests a knack for translating neuroscience-inspired mechanisms into practical ML architectures that improve agent perception and behavior.
11 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Bachelor of Engineering (B.E.) Computer Science and Engineering, Bachelor of Engineering (B.E.) Computer Science and Engineering at SSN College of Engineering
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