Summary
Chaoqun Tao is a Senior Software Engineer with eight years of experience building large-scale infrastructure and ML foundations across cutting-edge companies in the Bay Area. After earning an EECS degree from UC Berkeley, he progressed from academic lab work to internships at Uber ATG and production roles at Bloomberg, Google Search Infrastructure experiments, and now Waymo’s System Intelligence & Machine Learning infra. He specializes in reliable, high-performance systems that serve demanding data and ML workloads, with hands-on experience shipping at scale in both search and autonomous-vehicle contexts. Known as a curious learner and risk-taker, he blends hardware-savvy EE roots with deep software engineering practices. Based in Sunnyvale, he brings a pragmatic, research-informed approach to turning complex experiments into production-ready platforms.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at University of California, Berkeley
Chinese, English, French