Tao Feng is a Staff Software Engineer based in California with more than two decades of experience bridging formal verification research and large-scale search and advertising systems. After a Ph.D. in Electrical and Computer Engineering, he spent a decade architecting and parallelizing formal verification datapaths and SAT/Binary Decision Graph solvers at Cadence, then transitioned to drive backend engineering for Google Search and Ads. He combines deep algorithmic knowledge of symbolic methods and constraint solvers with practical expertise in distributed computing and high-throughput production systems. Tao is comfortable moving between low-level verification algorithms and product-facing, latency-sensitive infrastructure, making him effective at turning research-grade techniques into operational services. Colleagues describe him as a pragmatic architect who mentors engineers while shipping robust, scalable solutions. An understated strength is his ability to translate formal methods into tangible performance gains in commercial systems.
3 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Fudan University
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at University of California, Santa Barbara
Your Automatic Prompt Engineering Assistant for GenAI Applications
Contributions:1 release, 8 reviews, 67 PRs in 6 months
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