Shuyao Bi is a Senior Software Engineer with nine years of experience building reliable, high-performance backend systems at tech leaders including Facebook and Dropbox. She combines deep systems and data engineering expertise鈥擪afka, Spark, distributed ingestion pipelines鈥攚ith database internals work, having contributed cost modeling and query-optimization code to CMU鈥檚 Peloton self-driving DBMS. Her background spans production services and tooling (APIs, permissions, data insights) as well as research-grade systems for localization and verifiable auctions, reflecting a balance of rigorous experimentation and pragmatic engineering. A Carnegie Mellon MCDS graduate with top honors from Shanghai Jiao Tong, she has a track record of improving efficiency at multiple layers (e.g., reducing serialization CPU by 68%) and shipping measurable performance gains in real products.
9 years of coding experience
4 years of employment as a software developer
Master of Computational Data Science (System track), Computer Science, GPA: 4.0/4.33, Master of Computational Data Science (System track), Computer Science, GPA: 4.0/4.33 at Carnegie Mellon University
Bachelor of Science, Computer Science and Engineering, GPA: 3.94/4.0, Bachelor of Science, Computer Science and Engineering, GPA: 3.94/4.0 at Shanghai Jiao Tong University
Contributions:33 commits, 3 PRs, 4 branches in 1 month
Contributions summary:Shuyao primarily focused on enhancing the database management system, specifically contributing to the cost and stats calculator within the Peloton repository. Their work involved adding and modifying tests, suggesting a focus on improving the system's accuracy and reliability. The commits demonstrate an understanding of query optimization, cost modeling, and the use of testing frameworks. The user's efforts likely aimed at improving the performance and efficiency of query execution within the database system.
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