Keqiu H
Software Engineer, TLM at Google DeepMind
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKeqiu H is a seasoned software engineer and engineering leader with 13 years of experience, currently at Google DeepMind after leading AI serving at Databricks and ML infrastructure at LinkedIn. He has a track record of building production-grade training and serving platforms—scaling LinkedIn’s Hadoop YARN cluster to 12K+ nodes, enabling billion-parameter training, and migrating large AI workloads from Hadoop to Kubernetes. An active open-source hacker, he created Bluepill (3k+ stars) and TonY (700+ stars), donated both projects to foundations, and is a maintainer/PMC contributor on projects like Ray and Horovod. He blends mobile and full‑stack roots with backend, DevOps and hardware‑software co‑design experience to deliver high-performance, developer-friendly AI systems.
13 years of coding experience
11 years of employment as a software developer
Linchuan No.1 Middle SchoolMaster's degree, Computer Science, Master's degree, Computer Science at Columbia University in the City of New YorkBachelor of Engineering (B.E.), Electrical Engineering, First Class Honor, HKSAR Government Full Scholarship, Bachelor of Engineering (B.E.), Electrical Engineering, First Class Honor, HKSAR Government Full Scholarship at City University of Hong Kong
madarine, Chinese, Japanese
Github Skills (38)
ios10
yarnberry10
python10
testing10
commandline-interface10
command-line-interface10
distributed-systems10
hadoop10
xctest10
java10
datasets10
yarn-210
javas10
xcode10
tensorflow210
Programming languages (17)
Github contributions (5)
tony-framework/TonY
Sep 2018 - Apr 2022
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Role in this project:
Backend Developer
Backend DeveloperContributions:5 releases, 156 reviews, 76 commits in 3 years 8 months
Contributions summary:Keqiu primarily contributed to the core functionality of the TonY framework. Their commits focused on adding and modifying source code within the `tony-core` module, which suggests they were involved in developing the backend logic and infrastructure. The changes indicate a focus on application master, which is a core component of the framework. They also made modifications to address a number of issues.
horovoddeep-learningmachine-learningapachehadoop-yarn
MobileNativeFoundation/bluepill
Jan 2017 - Mar 2019
Bluepill is a reliable iOS testing tool that runs UI tests using multiple simulators on a single machine
Role in this project:Mobile Developer (iOS)
Mobile Developer (iOS)Contributions:9 releases, 2 reviews, 93 commits in 2 years 2 months
Contributions summary:Keqiu's primary contributions focused on enhancing the `Bluepill` iOS testing tool. The commits reveal modifications to build scripts, the integration of new features like UI testing, and fixes for existing functionalities. The user made changes to the configuration and test files. Additionally, the commits involved updating the project to use the latest Xcode version, indicating a focus on maintaining compatibility and improving the tool's capabilities for iOS development and testing.
multiple-simulatorssimulatorsparalleltestingbluepill
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