Chaoqin Li
Software Engineer at Databricks
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChaoqin Li is a software engineer with six years of experience building high-performance, cloud-native systems, currently working on AI compute platform infrastructure at Databricks in Bellevue. He has a strong background in streaming and stateful data processing from his Spark work—authoring RocksDB changelog checkpointing and improving Python streaming APIs—and contributes to widely used open-source projects like Delta Lake and Envoy to boost performance and observability. At Google he helped found a serverless edge platform (Project Turing), delivering multi‑order-of-magnitude latency and cold-start improvements through systems-level optimizations. Comfortable in modern C++ and backend services, he blends practical engineering with careful refactoring to improve maintainability and runtime efficiency. Quietly pragmatic, he favors small, high‑impact changes—like moving commit logic or logging offset ranges—that materially improve debugging and stability in large distributed systems.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Electrical Engineering, Bachelor of Engineering - BE, Electrical Engineering at Wuhan UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Chicago
Chinese, Chinese, English
Github Skills (18)
c-language10
spark10
envoyproxy10
python10
back-end-development10
testing10
big-data10
scala10
performance-optimization10
cprogramming-language10
streaming10
data-engineering9
analytics9
rocksdb9
grpc9
Programming languages (4)
Github contributions (5)
envoyproxy/envoy
Jul 2020 - Aug 2022
Cloud-native high-performance edge/middle/service proxy
Role in this project:
Back-end Developer
Back-end DeveloperContributions:389 reviews, 33 commits, 44 PRs in 2 years 2 months
Contributions summary:Chaoqin contributed to improving the time complexity of callback handle removal within the Envoy proxy, optimizing the performance of the callback manager. They also refactored the scoped route discovery service (SRDS) by reducing the number of update callbacks, leading to performance gains. Additionally, the user migrated integration tests for the scoped RDS feature from API v2 to v3. Their work focused on optimizing core functionalities and maintaining the stability and performance of the Envoy proxy.
nanoservicesmore-catsgolangcontainersproxy
apache/spark
Jan 2023 - Jan 2023
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:Back-end Developer
Back-end DeveloperContributions:243 reviews, 1 commit, 34 PRs in 1 day
Contributions summary:Chaoqin contributed to the Apache Spark project, focusing on improvements and new features for the streaming component. The contributions include implementing maintenance tasks before the StateStore unload, adding an example for applyInPandasWithState usage in Python, deprecating the DStream API, and addressing the cleanup of orphan files in RocksDB checkpoint directories. The user also introduced a metadata file for streaming stateful operators and worked on implementing changelog-based checkpointing for RocksDB state store providers.
analyticspythondata-processingsqlapache
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