Summary
Samarth Brahmbhatt is a technical lead in perception with 13 years of research and applied experience in robotics, computer vision, and sim-to-real reinforcement learning. He leads perception efforts at Overland AI after a multi-year research tenure at Intel Labs where he developed distributed RL for multi-robot navigation and contact-rich manipulation simulators. His background spans PhD-level robotics research at Georgia Tech, hands-on internships at NVIDIA and Facebook Reality Labs, and applied systems work from object detection to physics-aware simulation. Samarth combines deep academic rigor with product-focused execution, frequently bridging simulation, control, and perception to close the loop on real-world robotic capabilities. Notably, he has driven strategies that scale from low-cost robot fleets to high-fidelity contact physics, reflecting a knack for translating complex research into robust, deployable systems.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Robotics, Doctor of Philosophy (PhD) Robotics at Georgia Institute of Technology
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Institute of Technology, Nirma University
Master of Science Engineering Robotics, Master of Science Engineering Robotics at University of Pennsylvania
German, Gujarati, Hindi