Summary
Zhan Shi is a tech lead and senior machine learning engineer with 11 years of experience specializing in computer vision and deep learning for automotive and surveillance applications. He has driven production-grade perception features—from LiDAR 3D detection and sensor fusion for autonomous trucks to Just Walk Out store vision systems—at companies including Instacart, Amazon, Inceptio, and GM. Proficient in C/C++, Python, Matlab and frameworks like PyTorch and TensorFlow, he combines research-first rigor with hands-on engineering to ship scalable ML systems. His background includes academic research at the University of Michigan and practical work on loss designs (contrastive, triplet, coupled cluster) from an early Hikvision internship, reflecting a strong foundation in both theory and optimization. Based in California, he excels at bridging off-board research and on-device production constraints, often focusing on robustness and multi-object tracking in noisy, real-world sensor data. Colleagues describe him as a pragmatic problem-solver who turns complex perception research into reliable product features.
11 years of coding experience
9 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at University of Michigan - Rackham Graduate School
Self-Driving Car Engineer Nano Degree, Self-Driving Car Engineer Nano Degree at Udacity
Bachelor of Engineering, Information and Communication Engineering, Bachelor of Engineering, Information and Communication Engineering at University of Electronic Science and Technology of China
Chinese, English