Kedan Li
Co-Founder & CEO at Platon
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolKedan Li is a founder and machine learning leader with 11 years of experience building production AI systems and startups from research to revenue. He earned a PhD in Computer Vision from UIUC, co-founded Revery AI (YC S21) and scaled virtual try-on tech to ~$1M ARR powering brands like Saks and Lululemon before joining DoorDash as an ML tech lead to deploy high‑accuracy image-embedding search in production. Today he leads Platon as CEO, developing an autonomous AI-agent platform that runs performance marketing across Meta, Google, TikTok, Amazon and LinkedIn while also creating a competitive residency to surface top marketing talent. Hands-on across research, product, and infra, he’s filed patent disclosures, redesigned interview processes, and mentors engineers. He also maintains a widely used Core ML model catalog on GitHub, reflecting a practical commitment to developer tooling and model accessibility. Based in the Bay Area, he’s focused on applying deep vision and systems know‑how to the once‑in‑a‑decade AI wave.
11 years of coding experience
7 years of employment as a software developer
Summer 21 batch, Summer 21 batch at Y CombinatorDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Chinese, French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
machine-learning10
modello10
coreml10
python9
appleii9
apple19
apple29
lists8
documentation7
Programming languages (5)
Github contributions (5)
likedan/Awesome-CoreML-Models
Aug 2017 - Oct 2020
Largest list of models for Core ML (for iOS 11+)
Role in this project:
ML Engineer
ML EngineerContributions: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.
ios11machine-learningcoremlioscore-ml
likedan/Data_Analysis
Nov 2015 - Jul 2016
Contributions:414 commits in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.