Qingyue Xu
Senior Data Scientist
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolQingyue Xu is a Senior Data Scientist based in Menlo Park with six years of experience translating large-scale data systems and ML into production at Meta and Goldman Sachs. She blends deep quantitative skills from a math/statistics background and an MS in Information Systems Management with hands-on engineering—contributing backend and data-engineering fixes to high-profile open-source projects like Apache Flink and Apache Paimon that support real-time lakehouse architectures. At Meta she drives video ranking and GenAI work, and earlier roles spanned FICC analytics, power-optimization research on smartphones, and data products at eBay, showing a comfort moving between research, feature engineering, and distributed ETL. Notably, her open-source commits address tricky runtime and SQL-parser issues, reflecting both system-level insight and production-minded reliability.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics and Statistics, Bachelor of Science (B.S.) Mathematics and Statistics at Tongji UniversityMaster of Science (M.Sc.) Information Systems Management, Master of Science (M.Sc.) Information Systems Management at Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Chinese, English
Github Skills (14)
javas10
big-data10
flink-sql10
data-pipeline10
data-pipelines10
apache-flink10
sql10
java10
data-engineering10
scala10
spark9
data-structures8
data-structure8
apache-kafka7
Programming languages (5)
Github contributions (5)
apache/paimon
Mar 2022 - Nov 2022
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:342 reviews, 85 commits, 91 PRs in 9 months
Contributions summary:Qingyue's commits primarily focus on enhancing the functionality and reliability of the Apache Paimon project, a lake format designed for real-time lakehouse architectures. They implemented features like table store factories, fixed critical ClassCastExceptions related to sink writers, and corrected filter pushdown issues. Further contributions include improvements to data handling, such as support for rescale overwrites and handling of partition keys, suggesting a focus on optimizing data management and processing pipelines within the project.
flinkdistributed-systemsubprojectapachebig-data
apache/flink
Jan 2021 - Jan 2023
Apache Flink
Role in this project:Back-end Developer
Back-end DeveloperContributions:335 reviews, 38 commits, 117 PRs in 2 years
Contributions summary:Qingyue's commits focus on enhancing the Apache Flink codebase. They implemented fixes for processing time in DDL, enhanced the support for OVER window distinct aggregates in the Table API, and addressed issues with module management through new SQL syntax. The user also contributed to adding LOAD/UNLOAD MODULE syntax and support for SHOW MODULES in the SQL parser. The work demonstrates a deep understanding of the Flink ecosystem and SQL language.
pythonflinkconnectorsqlapache
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