Kedan Li is the co-founder and CEO of Revery AI (YC S21), which has raised seed funding and partners with major fashion retailers to deliver a scalable virtual dressing room that lets shoppers mix-and-match outfits on chosen models. A Ph.D. candidate in computer vision at UIUC since 2018, he has published in top-tier conferences and completed research collaborations and internships with Pinterest and JD.com on fashion-focused AI and compatibility recommendation systems. Before founding Revery he spent two years at Fitbit leading development of the Fitbit Coach app, and he completed his BS in Computer Science at UIUC in just two and a half years. He is the sole inventor on a U.S. patent for an interactive learning AI algorithm and maintains one of the web’s largest curated Core ML model repositories, blending rigorous research with practical ML engineering. Based in California with a decade of experience, he combines deep technical expertise and product-first execution to rebuild online fashion shopping experiences.
Contributions:1 review, 117 commits, 31 PRs in 3 years 2 months
Contributions summary:Kedan's contributions primarily revolve around building and maintaining a curated list of Core ML models. They added code for generating the README file to showcase these models. The user also updated model download links, modified page layouts, and added supporting documentation, ultimately focusing on improving the organization and presentation of the model repository. Furthermore, they added new model types and model visualization tools to expand the usefulness of the repository.
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