Summary
Tejas Kulkarni is a scientist and entrepreneur with 14 years of experience at the intersection of deep learning, reinforcement learning, probabilistic programming, and cognitive science. He holds a PhD from MIT where he developed "vision as inverse graphics" ideas and has driven research at DeepMind across computer vision, robotics, language, and simulation. As co-founder and CEO of Common Sense Machines he built 3D generative AI models and agent workflows for production-ready content from images, text, and sketches, and recently rejoined Google DeepMind as a scientist. His work blends theoretical insights into human cognition with practical systems for graphics, AR/VR and embodied agents, reflecting a rare combination of neuroscience-informed modeling and engineering rigor. Based in Cambridge, MA, he continues to push inverse graphics and neural rendering approaches for controllable 3D generation and decision-making. An early background shipping device drivers and neural network engineering at Qualcomm underpins his ability to move models from lab prototypes to deployed systems.
14 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Artificial Intelligence Neuroscience, Doctor of Philosophy (PhD) Artificial Intelligence Neuroscience at Massachusetts Institute of Technology
BS School of Electrical and Computer Engineering, BS School of Electrical and Computer Engineering at Purdue University