Ao Zeng
Distributed Systems Engineer at Netflix
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAo Zeng is a distributed systems engineer based in Redmond, WA with four years of industry experience building high-performance database and cloud services. He has driven core engine work on OLAP graph database query, storage, and observability at TigerGraph and now focuses on distributed systems at Netflix, after earlier roles improving performance and scalability for O365 at Microsoft. His background in computational data science and dual degrees in math and CS underpin a strong systems and analytical approach to performance-critical C++ engineering. Notably, he has end-to-end experience from SQL/parser-level extensions during a Splice Machine internship to production-grade engine components, blending low-level systems craftsmanship with production observability.
1 year of coding experience
5 years of employment as a software developer
Physics, Physics at Boston CollegeMaster's degree System Major in Computational Data Science, Master's degree System Major in Computational Data Science at Carnegie Mellon UniversityBachelor of Science (BS) Dual Degrees in Mathematics and Computer Science, Bachelor of Science (BS) Dual Degrees in Mathematics and Computer Science at University of North Carolina at Chapel Hill
Github Skills (7)
java-api10
datasets10
producer10
java9
in-memory9
high-performance9
big-data8
Programming languages (1)
Github contributions (1)
Netflix/hollow
Jul 2024 - Jan 2025
Hollow is a java library and toolset for disseminating in-memory datasets from a single producer to many consumers for high performance read-only access.
Contributions:1 release, 2 reviews, 10 PRs in 5 months
memoryjava-librarydatasetbig-dataconsumers
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