Vedarsh Shah is a software engineer with eight years of experience building autonomy, computer vision, and full-stack systems, currently at Google after graduating from Duke with degrees in Computer Science and Statistics. He has a track record of translating research-grade models into production-ready pipelines—improving infrared small-vehicle segmentation by 11% and delivering 99% mAP on YOLOv7-tiny for RoboSub—while also optimizing control systems to cut overshoot by 50%. Comfortable across Python, C++, ROS, Docker and PyTorch, he has shipped voice-enabled NLP products, healthcare workflow tools, and mobile features, often designing simulators and automated data pipelines to accelerate training and testing. As a leader at Duke Robotics he organized 115+ task WBS, built live tuning GUIs, and scaled detection from 1Hz to 22Hz, demonstrating a rare blend of hands-on engineering, systems thinking, and team execution. Based in Mountain View, he combines startup agility with enterprise discipline and a knack for rapidly mastering proprietary codebases to deliver measurable impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science and Statistics, Bachelor of Science - BS Computer Science and Statistics at Duke University
High School Diploma, High School Diploma at William Mason High School
Contributions:4 PRs, 11 pushes, 1 branch in 3 years 4 months
pythonmachine-learningtraining
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