Summary
Kan Huang is a Senior Software Engineer in the San Francisco Bay Area with 13 years of experience applying computational geometry, mathematical modeling, and high-performance C++/Python engineering to real-world products. At Google he splits time between AR systems, geometric algorithms, and applied ML/LLM work, having previously delivered inside-out IMU-based tracking for VR and advanced SRAF placement algorithms in semiconductor tools. He holds a PhD in Operations Research and a strong academic track record in approximation algorithms and geometric covering problems, bringing rigorous theory to production-scale systems. An early open-source contributor to CGAL visibility tooling through Google Summer of Code, he combines research-grade problem solving with pragmatic implementation and a knack for turning geometric insight into robust, low-latency software.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Operations Research, 3.91, Doctor of Philosophy (PhD), Operations Research, 3.91 at Stony Brook University
Bachelor of Science (B.S.), Mathematics, 3.71, Bachelor of Science (B.S.), Mathematics, 3.71 at Zhejiang University
English, Chinese