Yao Meng
Software Engineer at DeepSeek AI
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolPatrick Huang is a backend and database engineer with nine years of experience designing and optimizing high-throughput distributed systems, currently contributing to RisingWave Labs on a production-grade stream processing platform. He has deep hands-on experience refactoring storage layers—memtables, row/state models, and file cache engines—and has added meaningful metrics to improve observability and performance. Previously he helped build large-scale storage and streaming infrastructure at Tencent and LinkedIn, and his research background includes in-memory DBMS work at Carnegie Mellon and graph/query optimization at Microsoft Research Asia. Comfortable bridging research and production, Patrick combines academic rigor with pragmatic engineering to improve system correctness and efficiency. Quirkily enthusiastic about coding, he brings both low-level data systems expertise and a knack for turning complex storage internals into maintainable, measurable components.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Beihang University
Github Skills (8)
data-structures10
databases10
rust10
relational-databases10
data-structure10
sql-database10
database10
metric9
Programming languages (15)
Github contributions (5)
risingwavelabs/risingwave
Nov 2021 - Nov 2022
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 & Database Engineer
Back-end Developer & Database EngineerContributions:428 reviews, 103 commits, 376 PRs in 11 months
Contributions summary:Yao's contributions primarily involve refactoring and enhancing the storage layer of the RisingWave database. This includes replacing components like `ColumnDesc` with `Schema` in the memtable, supporting cell operations in `MemRowTable`, and replacing `RowTable` with `KeyedState` in the MView. The user also refactored the file cache engine and built support for the cache mechanism in the file. Additionally, the user made adjustments to the metrics and introduced new ones.
agentic-aievent-streamdatabasestream-processingrust
MrCroxx/tikv
Apr 2021 - Feb 2022
Distributed transactional key-value database, originally created to complement TiDB
Contributions:2 PRs, 140 pushes, 13 branches in 9 months
tidbtransactionaldistributed-databasetikvdatabase
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