Jerry Chen
Member Of Technical Staff at Factory
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJerry 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 SchoolMaster of Science - MS Computer Science (Security), Master of Science - MS Computer Science (Security) at Stanford University
Github Skills (12)
continuous-deployment10
pytorch10
huggingface-hub10
nlp10
huggingface10
deep-learning10
python10
ml-deployment10
llm10
http-request9
bash8
script8
Programming languages (5)
Github contributions (5)
mosaicml/llm-foundry
Sep 2023 - Feb 2024
LLM training code for Databricks foundation models
Role in this project:
ML Engineer
ML EngineerContributions: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.
deep-learningllmneural-networksnlppytorch
jerrychen109/Flickshare
Aug 2015 - Aug 2015
Contributions:29 pushes, 12 branches in 2 days
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