Yating Zhou
Founding Engineer at Deductive AI
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolYating Zhou is a founding engineer and systems-focused software leader with a decade of experience building high-performance distributed systems and execution engines. Previously a senior engineer at Facebook contributing to the Velox C++ execution engine and leading efficiency efforts that saved tens of millions annually across Spark runtimes, he also implemented low-level fixes for bootloaders and macOS compatibility in prominent open-source projects like Clover. At Google he worked on YouTube data insights and count-approximation systems, and he now helps scale an AI/database startup from the ground up. A prolific open-source maintainer with a top-trending GitHub presence since 2017, he combines deep OS-level expertise (tackling SMBIOS, NVRAM, sleep/display issues) with large-scale data infrastructure work. Unusually for an engineer of his profile, he also won a national mathematics olympiad and has hands-on experience deploying Hadoop+OrangeFS clusters as a startup CTO.
10 years of coding experience
10 years of employment as a software developer
Master Science of Computer Science (MSCS) Computer Science, Master Science of Computer Science (MSCS) Computer Science at Illinois Institute of Technology
standard mandarin/putonghua, southern min, Chinese, English
Github Skills (10)
data-structures10
query-engine10
query-parser10
c-language10
cprogramming-language10
querying10
data-management10
data-structure10
unit-testing9
spark-sql8
Programming languages (14)
Github contributions (5)
facebookincubator/velox
Aug 2021 - Jun 2022
A composable and fully extensible C++ execution engine library for data management systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 7 PRs, 2 comments in 9 months
Contributions summary:Yating primarily contributes to the `velox` execution engine, focusing on implementing and improving data deserialization and related components. Their work includes fixing deserialization issues for UnsafeRow, improving the handling of configuration, and optimizing data processing. The contributions involve modifying and adding tests to ensure correctness and performance. Further, the user added map_filter for sparksql.
queryvectorizedcppdata-processingacceleration
syscl/LinuxLand
Aug 2020 - Jul 2022
Ubuntu for Laptops
Contributions:4 commits, 2 PRs, 247 pushes in 1 year 11 months
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