Summary
Nithin Vasishta is a Senior Project Scientist and AI/ML engineer with a decade of experience building robust locomotion controllers from simulation to hardware, currently advancing bipedal control at IISc Bangalore’s Stoch Lab. Trained at Mila (M.S. AI) and IIT Bombay, he blends model-based methods (convex MPC) with reinforcement learning to achieve sim-to-real transfer, terrain-adaptive behaviors, and payload-capable bipedal traversal. He has been the sole technical driver on DRDO milestones, adapted quadruped algorithms to bipeds, and implemented parallelized QP solvers across thousands of simulations for hybrid MPC+RL systems. Comfortable in Python/C++, Nithin pairs deep control-theoretic insight with practical project delivery across cross-functional teams, and prefers remote roles where he can apply his robotics and control expertise to high-impact problems.
10 years of coding experience
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Mila - Quebec Artificial Intelligence Institute
Delhi Public School - India
Indian Institute of Technology Bombay
English, Hindi, Kannada, Sanskrit, Japanese