Summary
Ajay Unagar is a Senior Robotics Machine Learning Engineer with 11 years of experience building computer vision and reinforcement learning systems, currently teaching Tesla’s Optimus robots a wide range of real-world tasks. He holds an MSc in Computational Science from ETH Zurich where he worked on camera-pose estimation, DG-CNN navigation cost predictors, and digital-twin-based long-range path planning for legged robots. Prior roles span applied 3D computer vision at Geomagical Labs, continual learning research at IBM, and quantitative ML-driven strategy development in finance, reflecting a rare blend of research rigor and production impact. Based in Palo Alto, he combines simulation-first development (NVIDIA Isaac Sim) with field-focused robot learning, enabling scalable policy-conditioned planning. Notably, his background bridges civil engineering origins with advanced robotics, giving him a multidisciplinary perspective on physical-world autonomy.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Roorkee
MSc Computational Science (Robotics), MSc Computational Science (Robotics) at ETH Zürich
English, Hindi, Gujarati