Jun Zhang is an Expert Engineer based in Shenzhen with over a decade of experience building data-driven systems and mobile products, currently driving backend work at Shopee. He has a strong history at Tencent and Tencent Music, shipping Android features for QQ Music and Karaoke before transitioning to large-scale backend and data platform work. An active open-source contributor, Jun has improved core components of Apache Flink and contributed to Tencent’s SuperSonic AI+BI platform, spanning UI polish, database schema work, and bug fixes in streaming SQL APIs. With a Master’s in Computer and Information Systems Security from Southeast University, he combines systems-level rigor with pragmatic product delivery across both frontend and backend layers. Notably, his contributions navigate the intersection of real-time stream processing and practical developer-facing BI tooling.
11 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Computer and Information Systems Security/Information Assurance, Master of Engineering - MEng, Computer and Information Systems Security/Information Assurance at Southeast University
Bachelor's degree, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES, Bachelor's degree, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES at Hohai University
Contributions:3 reviews, 10 commits, 10 PRs in 3 years
Contributions summary:Jun primarily focused on bug fixes and improvements related to the Apache Flink project. Their contributions included addressing a type mismatch in the KafkaAvroTableSource, resolving typos in documentation, and fixing a typo in ExternalCatalogTable. The user also added a string representation for all Table & SQL API types and improved the first-n-row fetching functionality in the Rank operator.
SuperSonic is the next-generation BI+AI platform that unifies Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms.
Contributions:10 PRs, 153 pushes, 9 branches in 4 months
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