James Liu
Software Engineer at Google
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolJames Liu is a software engineer and machine learning systems specialist with eight years of experience building performant full-stack and backend systems. Currently a Member of Technical Staff at Anthropic, he previously led research at Together AI as first author of TEAL (ICLR spotlight) exploring structured activation sparsity for faster LLM inference. James is an active open-source contributor with meaningful work on Firebase (performance monitoring in the JS SDK and codelabs) and Kubeflow (website and pipelines UI), demonstrating both low-level performance engineering and user-facing frontend improvements. He combines rigorous academic foundations from MIT (CS: AI + Decision Making, 5.0/5.0) with practical production experience across ML infrastructure and web platforms. Known for tightening telemetry, optimizing transport layers, and shipping clean docs and UI enhancements, he focuses on developer-facing tooling that measurably improves observability and latency. Colleagues describe him as detail-oriented with a knack for turning performance research into deployable systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Nanjing UniversityUniversity of California, Irvine
Chinese, Chinese, Japanese, English
Github Skills (31)
hugo10
javascript10
performance-monitor10
performance-analytics10
typescript10
ui-design10
performance-measurement10
uid10
performance-analysis10
front-end-development10
typescript-types10
html10
performance-tuning10
g10
typescripts10
Programming languages (16)
Github contributions (5)
kubeflow/pipelines
Jan 2021 - Oct 2022
Machine Learning Pipelines for Kubeflow
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 releases, 735 reviews, 156 commits in 1 year 9 months
Contributions summary:James primarily focused on frontend development, contributing significantly to the UI of the Kubeflow Pipelines project. They implemented new features within the frontend, such as the Task Details tab and changes to the Artifact list, and ensured a good user experience. Additionally, the user addressed various bug fixes, and enhancements across the frontend, while also updating and adapting to the latest versions of React and other frontend dependencies. They were also responsible for the upgrade of the argo-ui as well.
pipelinetektondata-sciencemachine-learningmlops
kubeflow/website
May 2021 - Jun 2022
Kubeflow Website
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:141 reviews, 44 commits, 37 PRs in 1 year 1 month
Contributions summary:James primarily contributed to updating and maintaining the Kubeflow website. They modified pipeline and GKE version numbers within shortcode files. Additionally, they updated the pipelines API reference documentation by adding title sections and updating the swagger spec. The user also updated links within the website's index page.
kubeflowkubernetes
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.