Yu Sun
Machine Learning Engineer at TikTok
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolYu Sun is a Machine Learning Engineer with 11 years of experience specializing in NLP-driven search and ad relevance, currently working on TikTok Search Ads where he applies Transformer/BERT models, PTX, and retrieval-targeting algorithms to boost recall and relevance. He has a strong search-engine background and a track record of building end-to-end ad pipelines that improve targeting and campaign optimization at scale. Academically grounded with advanced CS degrees from Cornell and the University of Pennsylvania, he blends research-level rigor with product-focused engineering. Based in San Jose, he’s skilled at translating large-language-model advances into practical improvements for ad relevance and targeting, often bridging the gap between retrieval systems and downstream ranking. An understated thinker, he favors measurable impact over flashy demos, optimizing systems for real-world ad performance.
11 years of coding experience
Bachelor's degree, Bachelor's degree at Tianjin UniversityMaster of Science - MS, Master of Science - MS at Cornell UniversityMaster of Computer and Information Technology, Computer Science, Master of Computer and Information Technology, Computer Science at University of Pennsylvania
Github Skills (59)
npmjs10
webpack-plugin9
npm9
simplify9
erlang9
elixir9
bash9
multiple-languages9
api9
cli9
player9
chaining9
modification9
powershell9
shell8
Programming languages (5)
Github contributions (5)
guojiangtv/source
Apr 2017 - May 2018
Contributions:66 commits, 63 pushes, 1 branch in 1 year 1 month
javavuespringboot
saysmy/videojs-hls
Feb 2017 - Apr 2018
Contributions:4 commits, 3 pushes, 1 branch in 1 year 2 months
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