Harsh Patel is an AI researcher and Computer Engineering student at the University of Waterloo with hands-on experience across robotics, foundation models, and synthetic data research. In under three years he has interned or researched at organizations including Tesla (Autopilot/AI Research), Boston Dynamics–adjacent labs, IBM, and university vision labs, translating simulation and synthetic-trajectory work into practical ML and planning systems. He blends applied LLM and foundation-model work with robotics-focused simulation and adaptive task planning, making him comfortable at the intersection of perception, planning, and generative models. Based in the United States, Harsh has rapidly moved from edge AI and IoT projects to production-focused autopilot research, demonstrating an unusual early-career breadth across both industry-scale and academic research settings.
1 year of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Dr. E.P. Scarlett High School
Bachelor of Applied Science - BASc, Computer Engineering, Bachelor of Applied Science - BASc, Computer Engineering at University of Waterloo
Unified framework for robot learning built on NVIDIA Isaac Sim
Contributions:10 reviews, 3 PRs, 12 pushes in 2 months
roboticsnvidiagpusimreinforcement-learning
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