Yang Qiu
Machine Learning Engineer at TikTok
California, United States
Summary
👤
Senior🎓
Top SchoolYang Qiu is a Machine Learning Engineer with eight years of experience specializing in multi-modal recommender systems, currently shaping photo-text recommendation for TikTok’s U.S. FYP. He blends rigorous academic training (M.S. CS, UC San Diego; B.S. CS & Data Science, UW–Madison) with hands-on production experience in personalization, delayed attribution optimization, and user intent modeling. Past roles span industry and research—from Tencent and city AI analytics to health-focused AI labs—giving him breadth across product ML and applied research. Known for translating multi-modal understanding into scalable models, he often bridges prototype research and high-throughput engineering in real-world UGC ecosystems.
8 years of coding experience
3 years of employment as a software developer
University of California, San DiegoBachelor’s Degree, Computer Science, 3.97, Bachelor’s Degree, Computer Science, 3.97 at University of Wisconsin-Madison
Github Skills (17)
slide10
android-app9
kotlin-android8
scrapy7
android7
scrapyd7
scrapinghub6
spider6
queue6
material-design6
vector5
stl5
dashboard4
algorithms4
stl-algorithms4
Programming languages (4)
Github contributions (5)
yoiyang/unpoken_book_reader_ui
Nov 2020 - Apr 2023
Contributions:4 pushes, 1 branch in 2 years 5 months
yoiyang/slack-checkin-status-hero
Apr 2019 - Nov 2020
Node.js server checks student's attendance in class by checking in on Slack.
Contributions:7 pushes, 2 branches in 1 year 6 months
node-js-servernode-jsjavascriptin-classslack-bot
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