Jerry Chen is a Member of Technical Staff in the San Francisco Bay Area with 11 years of experience building cloud-native systems and production ML infrastructure. He’s contributed to large-scale generative AI training platforms at Databricks Mosaic Research and now drives engineering work at Factory, blending systems-level rigor from a Stanford CS background with hands-on model deployment experience. His open-source contributions include improving model download and deployment tooling in the popular mosaicml/llm-foundry, where he upgraded dependency integrations and added ORAS and Hugging Face Hub support—highlighting a focus on reliable model delivery. Having taught core CS courses at Stanford and shipped infrastructure across startups and Tier-1 engineering internships, he pairs deep technical breadth with practical engineering and operational instincts.
11 years of coding experience
2 years of employment as a software developer
The Harker School
Master of Science - MS Computer Science (Security), Master of Science - MS Computer Science (Security) at Stanford University
LLM training code for Databricks foundation models
Role in this project:
ML Engineer
Contributions:8 reviews, 14 PRs, 51 pushes in 4 months
Contributions summary:Jerry contributed to the development and maintenance of model download utilities within the LLM Foundry project. Their work included upgrading dependencies, specifically the `huggingface-hub` library, and implementing scripts for downloading models from Hugging Face Hub and cache servers, as well as support for ORAS. They also addressed issues related to logging, symlinks, and model license retrieval, indicating a focus on model deployment and integration.
Contributions:1 PR, 2 pushes, 1 branch in 9 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.