Jiao Mingyu is a data-savvy product and account leader with 7 years of experience spanning fintech and crypto, currently driving key accounts at Digital Reserve after leading P2P and GTM efforts at OKX and Bybit. With a Statistics degree from NUS and an exchange at Duke, he blends quantitative rigor with product instinct to translate merchant and user needs into operational systems and product features. He has hands-on backend engineering experience in open-source projects like Apache Paimon and StarRocks, improving Hive/ Iceberg integrations, caching, and connector reliability—skills that inform his pragmatic approach to technical partnerships. Comfortable founding teams (led OKX’s Singapore build-out) and diving into code (self-described “keyboarder”), he thrives at the intersection of product, data, and developer ecosystems.
7 years of coding experience
4 years of employment as a software developer
Semester Exchange Programme Statistics and Economics, Semester Exchange Programme Statistics and Economics at Duke University
Bachelor of Science with Honours Statistics, Bachelor of Science with Honours Statistics at National University of Singapore
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Role in this project:
Back-end Developer
Contributions:6 reviews, 18 PRs, 11 comments in 1 year 11 months
Contributions summary:Jiao primarily contributed to the Apache Paimon project by addressing issues related to the Hive metastore integration, including fixing incorrect constructs and ensuring compatibility with different Hive configurations. They also introduced caching and refresh functionalities for partitions within the CachingCatalog, improving the performance and management of table metadata. Additionally, the user added a unit test to check for potential deadlock scenarios within the Hive clients pool, which helps improve reliability. Other contributions included increasing the default value of the cache expiration interval, and introducing metrics for caching.
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Role in this project:
Back-end Developer
Contributions:44 reviews, 15 commits, 82 PRs in 5 months
Contributions summary:Jiao primarily contributes to the backend of the StarRocks database project, focusing on enhancements related to Iceberg integration. Their work includes adding support for custom catalogs, improving error messages, implementing a connector, and refactoring catalog properties. They also address bugs and improve the Iceberg connector functionality. These changes highlight their work on expanding data lake integration capabilities within the StarRocks query engine.
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