Summary
Tan Li is a software engineer with 14 years of experience building large-scale, high-performance systems across advertising, storage, and scientific computing. Based in the San Francisco Bay Area, he currently drives Ads personalization and ranking improvements at Google, including LLM encoder work, value-based bidding for Search+, and targeting quality for SMBs. His background includes low-level storage innovations at VMware (CoW B+ trees for VSAN) and systems research at Brookhaven where he developed NUMA-aware I/O metrics and multithreaded benchmarks. Comfortable across research and product engineering, he blends deep algorithmic knowledge with production-grade telemetry and data pipelines. Notably, he has delivered both core infrastructure (Sawmill logging/relay) and front-line advertiser features, showing a rare ability to move from kernel-like storage designs to applied ML-driven personalization.
14 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Huazhong University of Science and Technology
Doctor of Philosophy (PhD), Electrical and Computer Engineering, Doctor of Philosophy (PhD), Electrical and Computer Engineering at Stony Brook University
English, Chinese