Summary
Fan Zhang is a hands-on software and systems engineer with nine years of experience building large-scale distributed infrastructure for ads, search, authorization, and data privacy. He has driven high-impact projects at TikTok, Meta, and Uber—ranging from a federated learning framework that became the monetization org standard to GPU-optimized GenAI inference pipelines and a production authorization platform akin to AWS IAM. Fan blends ML training and data engineering expertise with low-latency systems work, consistently improving revenue and reliability (including a VP-awarded project and an org MVP award). Now focusing on agent SFT/RL training and rollout, he combines deep technical rigor with a product-minded view of operationalizing AI. Based in Los Angeles with advanced degrees in data-focused engineering, he’s quietly obsessed with AI’s potential and skilled at turning research-grade ideas into production-grade infrastructure.
9 years of coding experience
4 years of employment as a software developer
Master Electronic Engineer(Data Science), Master Electronic Engineer(Data Science) at University of Southern California
Hong Kong University of Science and Technology (HKUST)
English, Chinese