Fishing
Lake mornings help me think slower and cleaner. Fish are honest reviewers: no bite means the strategy is wrong.
Recommendation engineer focused on feed ranking and ML infrastructure
I am an Engineer in Amazon Prime Video Personalization and Discovery, focused on recommendation systems and personalization. My daily work covers distributed backend services, ranking pipelines, online model serving, offline parameters tuning, batch ML inference, and production operations.
I care about feed recommendation quality in the same spirit as LinkedIn/TikTok-style products: stable high-throughput serving, strong ranking relevance, and fast offline-to-online iteration with clear metric guardrails.
Before Amazon, I worked at Baidu USA on applied AI systems and earlier in autonomous driving research. I earned an M.S. at the University of Michigan and an M.S. at CUHK. This background shaped how I build recommendation systems: system-first, data-driven, and production-oriented.
Lake mornings help me think slower and cleaner. Fish are honest reviewers: no bite means the strategy is wrong.
I started following football during my time in Ann Arbor, and I've been a huge fan of Lionel Messi ever since.
Saxophone and live bands keep me grounded. Good rhythm helps in code too: fewer surprises, better flow, cleaner handoff.
University of Michigan, Ann Arbor
2022 – 2023The Chinese University of Hong Kong
2020 – 2022North China Electric Power University
2015 – 2019