Lei, HUANG
Sunnyvale, California, United States
Summary
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RockstarLei Huang is a Senior Applied Scientist in San Francisco with a decade of experience applying machine learning and mathematical modeling across biotech, healthcare, fraud detection, and supply chain. With a PhD in Computational Biology and a BS in Biology and Statistics, he excels at translating business problems into rigorous mathematical formulations and clear diagrams to drive algorithmic improvements and measurable value. At Microsoft he applies LLMs to marketing and builds ML systems for fraud and supply chain, while earlier roles at Human Longevity combined risk prediction, causal inference, and AWS-deployed bioinformatics pipelines that yielded papers and a patent. He is also an active backend and database engineer contributor to GreptimeDB, where he redesigned log-store internals and improved concurrency, compaction, and integration with table engines—showing deep systems-level data management expertise beyond typical data science work. Colleagues value his dual focus on practical impact and conceptual clarity, and his work often surfaces subtle system-level fixes that materially improve reliability.
10 years of coding experience
Github Skills (15)
databases10
pact10
error-handling10
storage-engine10
rust10
database-administration10
concurrent10
pac10
admin10
relational-databases10
sql-database10
concurrency10
database10
data-structure9
data-structures9
Programming languages (16)
Github contributions (5)
GreptimeTeam/greptimedb
Jun 2022 - Mar 2023
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:6 releases, 1288 reviews, 228 commits in 8 months
Contributions summary:Lei, primarily focused on implementing and improving the log store functionality within the GreptimeDB repository. Their contributions include fixing critical issues related to writing and reading data in the log store, particularly addressing pwrite functionality and concurrency issues. The user reimplemented entry read and decoding processes, added compaction and purge mechanisms, and optimized the log store's interaction with the underlying raft-engine. The user also worked on integrating with Table engine, which indicated that the user has a good knowledge of how data is managed in the database system.
databaseobject-storageobservabilitycloud-nativerust
RayneHwang/Netty-File-UDP-Demo
Nov 2017 - Jun 2022
A demo of Netty UDP C/S communication.
Contributions:1 PR, 2 pushes, 1 branch in 4 years 8 months
nettyudp
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