Jia Shi is a Perception Software Engineer with eight years of experience applying deep learning and multi-modal models to autonomous vehicle perception and computer vision research. Currently at Waymo and concurrently a graduate researcher at CMU, she has published NeurIPS-accepted work on CLIP-assisted visio-linguistic continual learning and contributed CVPR-accepted and patent-backed advances in lane and instance segmentation. Her background spans industry and academia—from radar-based sensor fusion and class-imbalance mitigation to edge-friendly model quantization and real-time facial landmark solutions—demonstrating a knack for turning research into deployable systems. She also contributes to open-source UI tooling, fixing TypeScript and UX issues in the widely used semi-design React library, reflecting a pragmatic full-stack sensibility beyond pure perception. Based in Mountain View, Jia combines strong academic results (MS in Computer Vision from CMU, top-graded BS in Data Science) with hands-on production experience to bridge novel models and robust engineering at scale.
8 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Exchange Advanced machine learning, Advanced data strucure with C++, Exchange Advanced machine learning, Advanced data strucure with C++ at UM-SJTU Joint Institute, Shanghai Jiao Tong University
High School Diploma, High School Diploma at Malden Catholic
Master of Science - MS Computer Vision, Master of Science - MS Computer Vision at Carnegie Mellon University
🚀A modern, comprehensive, flexible design system and React UI library, AI-friendly built-in.🎨Provide 3000+ Design Tokens, easy to build your design system. Make Semi Design to Any Design.🧑🏻💻 Design to Code in one click
Role in this project:
Front-end Developer
Contributions:342 reviews, 298 commits, 379 PRs in 1 year 2 months
Contributions summary:Jia primarily contributed to the development of the `semi-design` React UI library. Their commits focused on fixing TypeScript-related issues in the navigation component, including resolving bugs in `SubNavWithItems` and `NavItemPropsWithItems` definitions. Additionally, the user addressed type definition bugs in the `TextAreaProps` and `ColumnRender` of the table component. They also contributed to updating documentation and examples, while also addressing UI bugs.
Contributions:14 PRs, 316 pushes, 18 branches in 6 years
vue
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