Chengxuan Wang is a software engineer with 12 years of experience building backend systems for high-scale platforms, currently working at Otto after roles at CloudKitchens, Lyft, Cruise, and Amazon. He specializes in distributed systems and performance optimization, with notable open-source contributions to Apache Pinot where he implemented geospatial H3-based indexes and improved S3 initialization resilience. Comfortable in fast-moving product environments, he has navigated both startup and large-company challenges and repeatedly delivered production-grade fixes and features. Chengxuan holds a Master's in Computer Science from NYU and brings a pragmatic, data-driven approach to solving complex infrastructure and data-query problems.
12 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science in Polytechnic School of Engineering, Master's degree Computer Science in Polytechnic School of Engineering at New York University
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Hangzhou Dianzi University
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Contributions:24 reviews, 5 commits, 7 PRs in 3 months
Contributions summary:Chengxuan primarily contributed to the back-end functionality of the Apache Pinot project. Their work involved implementing geospatial index features, specifically support for `ST_Contains` and `ST_Within` using H3 indexing. They also addressed bugs related to the H3 inclusion index, optimized performance by caching polygon H3 cells, and added error messages and checks related to S3 file system initialization.
Apache Pinot - A realtime distributed OLAP datastore
Contributions:35 pushes, 10 branches in 3 months
realtimecommonsparquetolapapache
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