Lin Xu is a seasoned software engineering executive with 20+ years building scalable, privacy-conscious systems and high-performing global teams across startups and large enterprises. As Senior Director at Zscaler and former Director of Engineering at LinkedIn, she led AI/LLM-driven initiatives, compliance and abuse-prevention efforts, and multi-billion-dollar product lines that connect job seekers and hirers while protecting data integrity. Her hands-on background spans full-stack, mobile, big-data servers, databases and indexing, and she has repeatedly shipped high-throughput, low-latency platforms from prototype to production and exit. Lin has run multi-million-dollar R&D P&Ls, hired and scaled distributed teams of engineers, data scientists and editorial staff, and promoted leaders across regions. An active contributor to open-source distributed SQL (Trino), she has improved core query engine features and ORC/Hive integrations, reflecting a blend of deep systems expertise and product sensibility. Colleagues describe her approach as pragmatic and principled—favoring simple, stable and scalable designs that drive measurable impact.
7 years of coding experience
19 years of employment as a software developer
Bachelor’s Degree Electrical Engineering (Major)/ Industrial Engineering (Minor), Bachelor’s Degree Electrical Engineering (Major)/ Industrial Engineering (Minor) at Tsinghua University
Master’s Degree Computer Science, Master’s Degree Computer Science at Stanford University
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer
Contributions:54 reviews, 1 commit, 55 PRs in 1 day
Contributions summary:Lin's commits primarily involve modifying the codebase to improve the handling of column names and implementing new array functions. These changes are centered on enhancing the functionality of the query engine by incorporating features like `any_match`, `all_match`, and `none_match` for arrays, as well as ensuring consistency in column name conversions. The contributions focus on improving the system's interaction with ORC files within the Hive environment. Additionally, the user made several improvements related to the information schema and implemented features like a limit pushdown.
Official home of Presto, the distributed SQL query engine for big data
Contributions:346 pushes, 86 branches in 5 years
jdbchbasebigdatabig-datatrino
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