Mingchun Zhuang is a Quantitative Research Engineer at Citadel GQS with four years of hands-on experience building low-latency systems, distributed databases, and data-driven tooling. He has interned across high-impact teams at Snowflake, Apple, and RisingWave Labs, contributing backend features to the popular RisingWave stream processing project (6.1k stars) including catalog management, query filtering, and string-trim support. Comfortable across C++, backend services, and database internals, Mingchun also taught Database Management Systems at the University of Michigan and delivered production-ready allocation and arbitrage systems during prior internships. He blends quantitative rigor with practical engineering, demonstrated by offers and return invitations from multiple employers and a track record of shipping features that touch both core engines and user-facing interfaces.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science with Minor in Statistics, Bachelor of Science - BS Computer Science with Minor in Statistics at University of Michigan
Contributions:1 review, 10 commits, 2 pushes in 2 months
Contributions summary:Mingchun primarily focused on enhancing the backend functionality of the RisingWave platform. Their work included implementing the `drop_table` feature within the catalog service and frontend handlers, which involved modifying code related to catalog management and RPC clients. They also contributed to the frontend by implementing logical filtering and binding functions, indicating involvement in query processing and optimization. Furthermore, they were involved in adding Trim support, improving string manipulation capabilities.
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