Ao Zeng

Distributed Systems Engineer at Netflix

Redmond, Washington, United States
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Summary

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Ao 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.
code2 years of coding experience
job5 years of employment as a software developer
bookPhysics, Physics at Boston College
bookBachelor of Science (BS), Dual Degrees in Mathematics and Computer Science, Bachelor of Science (BS), Dual Degrees in Mathematics and Computer Science at The University of North Carolina at Chapel Hill
bookMaster's degree, System Major in Computational Data Science, Master's degree, System Major in Computational Data Science at Carnegie Mellon University
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Github Skills (1)

java10

Programming languages (1)

Java

Github contributions (1)

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Netflix/hollow

Jul 2024 - Jul 2026

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:4 releases, 10 reviews, 19 PRs in 1 year 11 months
java
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