Gaurav Kuppa is a perception engineer with 9 years of experience at the intersection of computer vision, deep learning, and robotics, currently building perception systems for Chef Robotics. He has shipped autonomy and perception work across legged and mobile platforms at Ghost Robotics and Emancro, and previously contributed to production feature optimization at Coinbase. His research background in generative computer vision, 3D human shape encoding, and object detection complements hands-on deployment experience on embedded platforms like Jetson Nano. Gaurav combines academic rigor from an MS in Robotics (Penn) and a Computer Engineering degree from SJSU with practical skills in model quantization, real-time feature engineering, and autonomy stack development. He’s equally comfortable teaching and leading teams—having led ML clubs and developed curriculum—bringing a pragmatic focus on moving models from research to robust fielded systems. Notably, he blends generative vision research with real-world perception constraints, making him adept at turning novel algorithms into deployable robotics solutions.
9 years of coding experience
6 years of employment as a software developer
Computer Engineering, Computer Engineering at San José State University
MS Robotics, MS Robotics at University of Pennsylvania
Contributions:1 review, 3 PRs, 11 pushes in 6 days
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Gaurav Kuppa - Perception Engineer at Chef Robotics