Yue Shi
Software Engineer at Google
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolYue Shi is a software engineer in the San Francisco Bay Area with a Ph.D. in Bioinformatics and about 3 years of industry experience focused on large-scale data processing and fraud/risk detection. She has a strong background in machine learning, statistical modeling, and Hadoop MapReduce, with hands-on experience building feature engineering and ensemble models at PayPal and production fraud systems at Google. Her academic work blends computational biology and high-performance simulation—she developed prediction pipelines for flu trends and contributed to molecular modeling software—bringing rigorous research practices to applied engineering problems. Comfortable with relational databases and data management tooling, she’s adept at turning complex data sources into reliable, scalable features and models. An often-overlooked strength is her cross-domain fluency: she translates advanced statistical methods from computational biology into practical solutions for financial risk and fraud detection.
3 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioinformatics / Computational Biology, Doctor of Philosophy (Ph.D.), Bioinformatics / Computational Biology at The University of Texas at AustinBachelor of Science (B.S.), Bachelor of Science (B.S.) at Shanghai Jiao Tong UniversityProgramming languages (1)
Github contributions (1)
paypal/junodb
Apr 2023 - Jul 2023
JunoDB is PayPal's home-grown secure, consistent and highly available key-value store providing low, single digit millisecond, latency at any scale.
Contributions:6 reviews, 3 PRs, 6 pushes in 2 months
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