Jo Chuang is a machine learning engineer with 12 years of experience blending full-stack development, product design, and ML to ship production-safe systems from research prototypes to cloud-native deployments. Based in Sunnyvale, they have progressed through multiple roles at Waymo—ranging from intern to team lead for Triage Safety ML—and briefly scaled product and engineering at a stealth startup. Jo’s work spans end-to-end stacks, including Kubernetes-powered PaaS contributions (react dashboard refactors, routing, and template launch fixes) that reflect hands-on frontend and orchestration experience. A Stanford MS graduate with a Cornell CS undergraduate degree, Jo moves comfortably between experimentation and operationalization, often surfacing subtle product improvements while keeping systems robust.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Cornell University
Master of Science - MS CS, Master of Science - MS CS at Stanford University
Kubernetes powered PaaS that runs in your own cloud.
Role in this project:
Full-stack Developer
Contributions:1 review, 90 commits, 14 PRs in 1 month
Contributions summary:Jo refactored root module references within the dashboard application, impacting multiple React components such as Home, ExpandedChart, and LaunchTemplate. They also made updates related to routing and navigation, including the introduction of routes and redirects. Additionally, the user addressed template launching functionality and made minor visual changes, indicating work across both the frontend and the routing/navigation of the application.
Contributions:5 commits, 2 pushes in 2 years 5 months
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