Peng Chen
Lead Engineer at Meta
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolPeng Chen is a Lead Engineer in the San Francisco Bay Area who builds production-grade GenAI infrastructure at Meta, with a track record of shipping large-scale systems that directly drive revenue for Ads. He led the 2025 effort to create a Web Understanding Platform that evolved webpage extraction into a multimodal understanding and generation system powering GenAI ads serving. Previously a PyTorch engineer and one of the founding engineers of a Content Understanding training framework (still used internally), he specializes in research-to-production pipelines, developer tooling, and scalable onboarding. His background includes PhD training at UC San Diego, giving him strong foundations in modeling and rigorous experimentation. Peng is an active mentor and open-source contributor who frequently unblocks cross-team integration on multimodal learning projects. He combines academic rigor with practical engineering to move cutting-edge research into reliable, production systems.
3 years of coding experience
2 years of employment as a software developer
University of California, San DiegoUniversity of Science and Technology of China
Github Skills (5)
multimodal7
scale7
pytorch6
deep-learning6
machine-learning6
Programming languages (1)
Github contributions (2)
pikapecan/multimodal
Apr 2023 - Oct 2023
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Contributions:41 pushes, 11 branches in 5 months
facebookresearch/multimodal
Oct 2022 - Oct 2022
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Contributions:14 reviews, 1 commit, 16 PRs in 1 day
pytorchmulti-taskartdeep-learningmultimodal
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