Paul Ee
Tech at Sinemora
Singapore
Summary
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RockstarPaul Ee is a pragmatic back-end engineer with eight years of experience based in Singapore, currently working as Tech at Sinemora. He contributes to high-performance stream processing systems—most notably RisingWave—where he implemented features like md5 expressions, catalog ownership fields, and permission checks to strengthen access control. Paul focuses on system design and secure, practical feature delivery rather than flashy frameworks, helping bridge developer needs with production constraints. His open-source work shows a knack for subtle but impactful changes that improve correctness and security in distributed data platforms. Colleagues value him for steady, detail-oriented delivery on core platform capabilities that enable real-time data processing at scale.
8 years of coding experience
Github Skills (13)
databases10
stream-processing10
rust10
postgresql10
database10
data-engineering9
sql9
catalog9
rights-management9
md59
access-management9
management9
permission9
Programming languages (4)
Github contributions (5)
risingwavelabs/risingwave
May 2022 - Aug 2022
The event stream processing platform for developers. Unified experience for real-time data ingestion, stream processing, and low-latency serving. Best-in-class performance and cost-efficiency. Supports SQL and Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 15 commits, 21 PRs in 2 months
Contributions summary:Paul primarily contributed to the implementation of new features and functionalities within the RisingWave platform. Their work focused on adding expressions, specifically an md5 expression, and integrating it into the system. They also added an owner field for various catalog objects and implemented permission checks, demonstrating a focus on features and system design. Furthermore, the user addressed the handling of REVOKE statements, enhancing the security and access control mechanisms of the system.
data-streamserverlessstreamdistributed-sql-databasedatabase
cnissnzg/doris
Apr 2023 - May 2023
Apache Doris is an easy-to-use, high performance and unified analytics database.
Contributions:34 pushes, 2 branches in 29 days
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