Jeffrey Pan is a founder and CTO with a decade of experience building ML-first products, currently leading Bronco AI to accelerate chip development using LLMs. He blends hands-on research pedigree—from CVPR publications and MIT/UT Austin lab work to Picsart generative vision research—with product-first engineering, backed by YC and top-tier investors. Deeply versed in embedded ML, latent spaces, DL/NLP and TTS, he’s contributed practical improvements to widely used open-source deep learning tooling (e.g., Keras community code). Based in San Francisco, he pairs systems-level silicon verification ambitions with a researcher’s rigor and an unexpected passion for 19th-century European history.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science in Engineering - BSE Computer and Information Science, Bachelor of Science in Engineering - BSE Computer and Information Science at University of Pennsylvania
Phillips Academy
BSE & BS Computer Science & Operations, BSE & BS Computer Science & Operations at Jerome Fisher M&T Program
Bachelor of Science - BS Economics, Bachelor of Science - BS Economics at The Wharton School
Contributions:5 commits, 1 PR, 2 comments in 5 days
Contributions summary:Jeffrey primarily focused on adding and importing the `logsumexp` function to support deep learning operations. This included implementing `logsumexp` in the `tensorflow_backend.py` file, integrating it into the TensorFlow backend, and ensuring its availability in all backends. Additionally, the user made updates related to merging branches and whitespace cleanup.
Contributions:16 commits, 27 pushes, 1 branch in 1 year 9 months
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