Zhi Liu
Product Manager & Software Engineer at RisingWave Labs
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolZhi Liu is a Product Manager and Software Engineer with 11 years of experience based in Singapore, currently driving performance-focused product proofs at RisingWave Labs. He blends back-end systems engineering with product strategy, contributing significant backend features to the open-source RisingWave stream-processing project—work that emphasizes data structure design, execution modes, and performance optimizations. Trained in math and advanced computer science (MPhil, doctoral studies at CUHK), he brings rigorous analytical thinking to real-time data systems. His hands-on contributions include array manipulation, hash dispatching, and local execution features that integrate deeply with core modules like StreamChunk and Hummock. A former Azure intern at Microsoft, he combines cloud platform experience with startup-grade product delivery. Colleagues describe him as a pragmatic engineer who translates research-level ideas into production-ready, high-performance streaming features.
11 years of coding experience
High School, High School at Shanghai High SchoolThe Chinese University of Hong Kong (CUHK)
Github Skills (13)
rust10
streaming10
algorithms9
data-engineering9
data-structure9
performance-optimization9
datastructures-algorithms9
algorithm9
data-structures9
datatables8
testing8
html-table8
datatable8
Programming languages (18)
Github contributions (5)
risingwavelabs/risingwave
Sep 2021 - Jan 2023
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
Back-end DeveloperContributions:1697 reviews, 312 commits, 1109 PRs in 1 year 4 months
Contributions summary:Zhi primarily contributed to the development of backend features, adding functionality such as array manipulation, a hash dispatcher, and a local execution mode. The user's work involved modifications to core data structures like `DataChunk`, implementing features in various modules and supporting functions. The user also focused on integrating new features with the existing code base by modifying the `StreamChunk`, and `Hummock` related modules. The commits indicate a focus on performance optimization and data processing logic.
agentic-aievent-streamdatabasestream-processingrust
risingwavelabs/sysbench
Oct 2023 - Jun 2025
Scriptable database and system performance benchmark (forked from akopytov/sysbench)
Contributions:2 reviews, 2 PRs, 3 pushes in 1 year 8 months
databasesysbench
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