Sijie Wang is a senior design leader with nine years of experience shaping UX and product strategy across Google and Anyscale, now serving as Sr Staff Designer at Google in Mountain View. He led design at Anyscale, bringing developer-focused UX sensibilities to distributed AI tooling, and contributes to prominent open-source projects like Ray where he improved documentation and UI interactions for ML developers. Trained in automation (Tsinghua) and HCI (Simon Fraser), he blends technical depth with user-centered craft to simplify complex, distributed systems. Known for pragmatic design decisions—such as disabling auto-selection in search to reduce errors—he pairs polished visual interfaces with measurable UX improvements and developer empathy.
9 years of coding experience
2 years of employment as a software developer
BEng Automation, BEng Automation at Tsinghua University
MSc Human Computer Interaction, MSc Human Computer Interaction at Simon Fraser University
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Role in this project:
Technical Writer & UI/UX Focused Developer
Contributions:1 review, 11 commits, 12 PRs in 5 months
Contributions summary:Sijie primarily contributed to the project's documentation and UI/UX aspects. Their work involved disabling auto-selection in search results for improved user experience and adding links to documentation. They added a "Learn about Anyscale" button with associated styling, tracking, and responsive design considerations. Furthermore, the user integrated a blog link within the documentation's top navigation and updated the "Get Started" link and Anyscale CTA button.
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