Dhruv Shah is a robotics and AI professor and researcher with nine years of experience bridging cutting-edge research and production at institutions like Berkeley AI Research, Meta, Google DeepMind, and Princeton. He directs the Princeton Robotic Intelligence and SysteMs (PRISM) Lab and has led on-device and post-training robotics efforts for DeepMind’s Gemini program, translating large-model advances into real-world robotic capabilities. His background combines a PhD in Artificial Intelligence from UC Berkeley with an electrical engineering and CS foundation from IIT Bombay, enabling fluency across machine learning, systems, and embedded inference. Dhruv has rotated between industry research roles and academia, uniquely positioning him to shepherd projects from prototype to deployable systems at scale. Based in the New York City area, he is known for pragmatic innovation—optimizing ML models for on-device constraints while advancing fundamental robotics autonomy.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of California, Berkeley
Contributions:3 pushes, 1 branch in 1 year 3 months
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