Keqiu H is a seasoned software engineer and leader with 13 years of experience building large-scale AI training and serving infrastructure across LinkedIn, Databricks, and DeepMind. He led teams that scaled LinkedIn’s Hadoop/YARN clusters to 12K+ nodes and enabled training of billion-parameter models, then transitioned to building customer-facing AI serving platforms and multi-cloud serverless inference. Equally at home in mobile infra—creator of Bluepill that saved millions in iOS testing—and backend distributed systems—creator of TonY for TensorFlow on YARN—he blends systems engineering with product impact. An active open-source maintainer and PMC/tsc member (Ray, Horovod, Apache projects), he donates flagship projects to foundations and shapes community governance. Based in Sunnyvale with an MS from Columbia, he combines hands-on coding, hardware-software co-design, and scaling pragmatism to turn research and exabyte-scale data into reliable production ML platforms. A less obvious strength: he moves seamlessly between developer productivity wins (weekly iOS releases) and heavy-duty cluster orchestration, proving an ability to optimize both developer velocity and large-scale system efficiency.
13 years of coding experience
11 years of employment as a software developer
Linchuan No.1 Middle School
Master's degree Computer Science, Master's degree Computer Science at Columbia University
Bachelor of Engineering (B.E.) Electrical Engineering, Bachelor of Engineering (B.E.) Electrical Engineering at City University of Hong Kong
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Role in this project:
Backend Developer
Contributions: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.
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)
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.
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Keqiu H - Software Engineer, TLM at Google DeepMind