Qianqian Liu
Member Of Technical Staff at Salesforce
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolQianqian Liu is a software engineer and data-focused information professional with three years of experience blending machine learning, NLP, and full-stack development to deliver data-driven business insights. Currently a Member of Technical Staff at Salesforce and an alumna of the University of Washington’s Information School, she pairs rigorous academic research in behavioral finance and econometrics with hands-on product experience from Spice AI and Amazon capstone work. She contributes to high-profile open-source projects like Apache DataFusion, improving SQL unparsing and logical plan optimizations to help translate complex query plans into dialect-correct SQL. Skilled in Python, R, SQL, Power BI, and modern web stacks, she actively studies large-scale data pipelines and multi-model database design to scale analytics systems. Attentive to bias and ethics in information management, she combines technical depth with a persistent drive to turn data science into measurable business value.
3 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Finance, Bachelor's degree, Finance at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）Master of Science in Information Management, Master of Science in Information Management at University of Washington Information SchoolThe Chinese University of Hong Kong (CUHK)
Github Skills (6)
fusion10
query-engine10
rust10
sql10
binary-data9
data-handling9
Programming languages (9)
Github contributions (5)
apache/datafusion
Jul 2024 - Jan 2025
Apache DataFusion SQL Query Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 13 PRs, 7 comments in 6 months
Contributions summary:Qianqian primarily contributed to the `datafusion` SQL query engine, focusing on unparsing and SQL dialect-specific implementations. They modified the unparser to handle float64 data types correctly, ensuring proper SQL generation for different database systems like Postgres. Furthermore, the user addressed issues related to dictionary columns, binary data, and character length functions, enhancing the engine's ability to translate DataFusion expressions into valid SQL queries. The user also worked on logical plan optimization, specifically addressing functional dependency handling in the UNION operation.
querypythonquery-enginedataframerust
Sevenannn/datafusion-table-providers
Jul 2024 - Mar 2025
DataFusion TableProviders for reading data from other systems
Contributions:3 releases, 144 pushes, 54 branches in 8 months
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