Jeff Huber
CEO & Founder at Chroma
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Huber is a serial founder and CEO with 12 years of experience building AI and vision-driven products from prototype to exit and open-source impact. He currently leads Chroma, an AI-native open-source vector database, and brought hands-on engineering to the project by implementing core functionality, client libraries, and a Flask-based notebook/app integration in the chroma-core repo. Prior to Chroma he co-founded and led Standard Cyborg—ycombinator-backed, Forbes 30 Under 30—where commercial computer vision systems and a product sale to Össur demonstrated his ability to ship industry-ready ML solutions. His background spans full-stack development, product leadership, and founding multiple startups, blending technical depth with operator experience. Based in San Francisco, he leverages an Industrial Engineering and Economics education to marry data-driven product decisions with scalable engineering. An uncommon strength is his continued hands-on coding in flagship open-source infrastructure while running a fast-growing company.
12 years of coding experience
9 years of employment as a software developer
BS, Industrial Engineering, Economics, BS, Industrial Engineering, Economics at North Carolina State University
Github Skills (7)
python10
flask-ask9
flask9
apidoc9
api9
vector-database8
front-end-development7
Programming languages (12)
Github contributions (5)
chroma-core/chroma
May 2022 - Mar 2023
the AI-native open-source embedding database
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:323 reviews, 654 commits, 342 PRs in 10 months
Contributions summary:Jeff implemented core functionality and user interfaces across multiple applications within the "chroma-core/chroma" repository. They integrated a notebook, app, and script example by adding new client libraries using Python (with the `chroma_client` module) and a Flask app. Their changes also involved the integration of the data with a vector store, demonstrating an understanding of vector database concepts.
document-retrievalembeddingsllms
StandardCyborg/mirror-clip
Feb 2019 - Sep 2019
Contributions:15 commits, 13 pushes, 2 comments in 7 months
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