Zhenyuan Zhao
Software Engineer at Facebook
United States
Summary
🤩
Rockstar🎓
Top SchoolZhenyuan Zhao is a seasoned software engineer with over a decade of experience building high-performance systems at major tech companies including Facebook and Microsoft. He holds an MS in Computer Science from Brown University and a BS from Zhejiang University, bringing strong academic foundations to production-grade engineering. At Facebook he focuses on backend execution engines and performance optimization, contributing to Velox by improving task management, custom executor support, and decoding/writer efficiency—work that underscores a deep attention to scalability and low-level C++ performance. His background includes teaching multiprocessor synchronization, signaling both expertise in concurrency and a habit of clarifying complex concepts. Colleagues can expect a pragmatic engineer who blends systems-level rigor with practical improvements that yield measurable runtime gains.
10 years of coding experience
8 years of employment as a software developer
MS, Computer Science, MS, Computer Science at Brown UniversityBS, Computer Science, BS, Computer Science at Zhejiang University
Github Skills (8)
query-engine10
query-parser10
c-language10
cprogramming-language10
querying10
data-management10
multithreading9
algorithms8
Programming languages (2)
Github contributions (5)
facebookincubator/velox
Aug 2021 - Sep 2022
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 reviews, 38 commits, 37 PRs in 1 year 1 month
Contributions summary:Zhenyuan primarily contributed to enhancing the C++ execution engine library. Their work focused on improving the task management system by allowing tasks to utilize a consumer supplier. They also made changes to driver execution, introducing the ability to use a custom executor. Furthermore, they optimized the writer component, specifically the decoding process, which involved re-using the decoded and selectivity vectors. These changes reflect a focus on improving performance, scalability, and flexibility within the Velox execution engine.
queryvectorizedcppdata-processingacceleration
zzhao0/velox
Sep 2021 - Jun 2024
A new C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
Contributions:95 pushes, 41 branches in 2 years 9 months
queryvectorizedcppdata-processingacceleration
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