Summary
Aayush Gupta is an AI-focused DevTech engineer and UC Berkeley EECS undergraduate leveraging nine years of hands-on software and research experience across embedded systems, robotics, and machine learning. He has progressed through multiple roles at NVIDIA — from MatX compute intern to building generative diffusion models for climate and joining the DevTech AI engineering team — and has research stints at BAIR alongside applied perception work in underwater robotics. His projects span low-level embedded and perception systems (IMU+LiDAR SLAM for a 170 mph autonomous racecar) to training and deploying large generative models, so he bridges embedded perception and large-scale ML workflows. With a near-perfect GPA and CS189 course staff experience, he combines teaching clarity with production-minded engineering for developer-facing AI tools.
9 years of coding experience