Shaoxuan Wang
Committer Of Apache Flink at The Apache Software Foundation
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolShaoxuan Wang is a seasoned distributed-systems engineer and open-source committer with nine years of experience building cloud and big-data platforms, currently a Committer and PMC member of Apache Flink and a senior technical leader at Alibaba driving Blink SQL, ML pipelines, and deep learning infrastructure. He has a rare blend of research-led invention (patents and publications) and product delivery, having co-founded a mobile-cloud startup and led launches as a tech lead. His hands-on contributions to Apache Flink include substantial enhancements to aggregation semantics and code generation for streaming and batch windowed operations, reflecting deep runtime and API expertise. Earlier roles at Facebook and Broadcom honed his skills in high-performance query, caching and cloud IoT systems, while his PhD and MS from UC San Diego and Peking University underpin a strong theoretical foundation. Based in Menlo Park, he pairs pragmatic engineering with a track record of turning novel prototypes into production-feasible platforms.
9 years of coding experience
8 years of employment as a software developer
University of California San DiegoBS, Electrical and Computer Engineering, BS, Electrical and Computer Engineering at Peking University
English, Chinese
Github Skills (11)
javas10
big-data10
code-generation10
flink-sql10
aggregate-functions10
apache-flink10
java10
scala10
data-engineering9
sql9
testing7
Programming languages (2)
Github contributions (5)
apache/flink
Feb 2017 - Aug 2017
Apache Flink
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 22 PRs, 106 comments in 5 months
Contributions summary:Shaoxuan contributed significantly to the Apache Flink codebase by implementing and refactoring aggregate functions within the Flink Table API. They added support for retract methods, reset accumulators, and complete argument lists in runtime functions. The user's commits demonstrate a focus on enhancing aggregation capabilities, including code generation for streaming and batch aggregation operations, windowed aggregations, and fixing bugs related to merging accumulators. The contributions cover several aggregate functions, including sum, avg, min, and max, and incorporate code generation for these functionalities.
pythonflinkconnectorsqlapache
shaoxuan-wang/flink
Dec 2016 - Jul 2019
Contributions:17 PRs, 107 pushes, 72 branches in 2 years 6 months
flinkapachebig-dataapache-flinkjava
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