Summary
Kevin Chow is a software engineer with 11 years of experience specializing in computer vision, machine learning, and real-time perception systems, now working on ML infrastructure at YouTube/Google. He has built high-performance perception stacks for a 170 mph autonomous Indy race car—optimizing instance segmentation to 150–250 Hz, deploying TensorRT/CUDA pipelines, and fusing LiDAR, radar, and camera data for low-latency 3D detection. Kevin has productionized labeling and dataset pipelines at scale (350k+ images, 96% accuracy) and deployed RL training environments on Azure with a Unity/ROS2 simulator for multi-agent racing. His background includes turning manual NASA JPL data workflows into automated dashboards and shipping edge-focused perception for autonomous taxis, demonstrating both systems-level engineering and ML model optimization. Based in Mountain View and active in full-stack tooling (Docker, Flask, Django, AWS), he combines research-minded experimentation with pragmatic deployment experience. He’s known for rapid prototyping under demanding real-time constraints and the appetite to tackle hungry technical challenges.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, Junior, Bachelor of Science - BS, Electrical Engineering and Computer Science, Junior at University of California, Berkeley
Electrical and Electronics Engineering, Sophomore, Electrical and Electronics Engineering, Sophomore at Golden West College
Associate of Science - AS, Mathematics, Sophomore, Associate of Science - AS, Mathematics, Sophomore at Orange Coast College
Bachelor of Science - BS, Electrical Engineering and Computer Science, Junior, Bachelor of Science - BS, Electrical Engineering and Computer Science, Junior at UC Berkeley College of Engineering
High School Diploma, High School Diploma at Fountain Valley High School