Bowen Zhou is a tech-enabled business leader and Chair Professor in Beijing with a Ph.D. in Electrical and Computer Engineering and over two decades of research and executive experience at IBM and JD, where he led AI, cloud, and platform efforts including JD Cloud & AI. He founded Frontis.ai to translate advanced AI research into real-world products, blending deep expertise in question answering, speech and machine translation, and knowledge discovery with hands-on startup leadership. Bowen’s engineering roots remain active: he contributes to high-performance distributed systems like RisingWave, focusing on meta catalog and catalog management for stream processing platforms. His career bridges rigorous academic research and Fortune 500 R&D leadership, having held chief scientist and director roles that shaped commercial AI foundations. Colleagues note his rare combination of scholarly depth and pragmatic product instincts—equally comfortable publishing theory or shipping scalable backend services. He also pursues quantitative trading and storage engine work as personal projects, signaling a continual appetite for system-level challenges.
7 years of coding experience
21 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical and Information Engineering, Bachelor of Engineering (B.Eng.), Electrical and Information Engineering at University of Science and Technology of China
Ph.D., Electrical Computer Engineering, Ph.D., Electrical Computer Engineering at University of Colorado at Boulder
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Role in this project:
Back-end Developer
Contributions:16 reviews, 15 commits, 9 PRs in 1 month
Contributions summary:Bowen's commits primarily focused on implementing and refactoring features related to the meta catalog service within the RisingWave database platform. Their contributions include implementing create/drop database, schema, and materialized view services. They were also involved in fixing issues related to empty queries and duplicated source/materialized view creation, as well as integrating support for a consistent hash-based parallelized chain. The changes involved modifications to core RPC services and catalog management logic.
Contributions:1 release, 109 pushes, 2 branches in 2 months
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