Yundi Jiang
AI Research Engineer at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYundi Jiang is an AI Research Engineer in the San Francisco Bay Area with nine years of experience building production ML systems for vision and NLP. He has driven multimodal, scalable solutions across roles at Amazon—where he led automated localization for Ads using object detection, OCR, Vision Transformers and diffusion models—and now focuses on AI content understanding at Meta. His background includes deploying models for payment, fraud, and risk at Deserve and a PhD from Princeton, underscoring strong research-to-production fluency. Yundi blends deep technical rigor with product impact, routinely shipping end-to-end pipelines that turn research advances into revenue-driving features. Notably, he specializes in integrating multimodal LLMs with computer vision to solve real-world localization and content challenges across global markets.
9 years of coding experience
5 years of employment as a software developer
Georgia Institute of TechnologyDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Princeton University
Github Skills (5)
openfoam5
cpp3
drag3
grid3
neural-network2
Programming languages (1)
Github contributions (5)
yundij/ANN-sub-grid-Drag
Sep 2020 - May 2021
Contributions:5 commits, 4 pushes, 1 branch in 8 months
yundij/ANN_OpenFOAM
Aug 2020 - Dec 2020
Examples to deploy neural-network-based sub-grid drag model in C++ platforms (OpenFOAM and CFDEM)
Contributions:6 commits, 2 PRs, 3 pushes in 4 months
openfoamcppplatformsneural-networkgrid
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