Justin Fan
Possible Winter Cohort Member at Santa Clara University
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJustin Fan is a Web Design and Engineering student at Santa Clara University with 11 years of hands-on experience building practical engineering solutions across web, embedded, and iOS/visionOS platforms. He pairs a deep interest in machine learning and big data with practical systems work—contributing to the WebGPU specification and demos and formerly working on WebKit—bringing both specification-level thinking and implementation chops. Justin has driven cost-saving automation and integrations in IT operations, built a custom GPT to streamline change management, and implemented analytics pipelines that saved his organization over $10K annually. Comfortable in lab and production settings, he has experience from RF testing and crypto testbeds to retail operations and campus service desks, which gives him a knack for reliable processes and user-centered tooling. Based in California, he balances cross-disciplinary technical depth with a talent for turning complex specs into demonstrable, deployable features.
11 years of coding experience
Web Design and Engineering Computer Science, Web Design and Engineering Computer Science at Santa Clara University
Github Skills (4)
webidl10
webgpu10
gpu10
javascript8
Programming languages (5)
Github contributions (5)
gpuweb/gpuweb
Mar 2019 - Jun 2020
Where the GPU for the Web work happens!
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 commits, 30 PRs, 13 pushes in 1 year 2 months
Contributions summary:Justin contributed to the WebGPU project by implementing core features and examples, with a focus on the specification and implementation of features related to depth/stencil formats and sampler functionalities. Their work included modifying WebIDL files to reflect the additions and changes in the API and creating a reference demo to showcase WebGPU capabilities. The user also worked on the core specification documents to add validation rules and descriptions.
gpu-programminggpuwebgl2webgpugpgpu-computing
JusSn/gpuweb
Jan 2019 - Jun 2020
Where the GPU on the Web work happens!
Contributions:2 PRs, 83 pushes, 17 branches in 1 year 4 months
gpu
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