Hyung Chi
AI Research Engineer at Meta
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolHyung Chi is an AI research engineer and PhD candidate in Electrical and Computer Engineering at Purdue, specializing in representation learning for human actions and 3D computer vision with applications in VR/AR and autonomous systems. With eight years of experience spanning academia, industry research labs, and startup leadership, he has shipped action-recognition models for surveillance, conducted multi-modal perception work for Siri at Apple, and now builds on-device LLM capabilities for AR at Meta. His profile blends deep theoretical research—grounded in Purdue’s Convergence Design Lab—with hands-on deployment experience at Toyota and Honda Research Institutes and a seed-funded startup he co-founded. Based in Cupertino, Hyung is comfortable moving models from prototypical 3D and motion representations into constrained, real-world devices, an uncommon bridge between cutting-edge research and production on-device AI.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Purdue UniversityBachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Yonsei University
English, Korean
Github Skills (19)
action-recognition10
skeleton10
retrieval9
benchmark9
mesh9
semi-supervised-learning9
classification9
unsupervised-learning9
multiclass-classification9
3d-reconstruction9
computer-vision9
point-cloud8
scale8
voxel8
large-scale8
Programming languages (5)
Github contributions (5)
stnoah1/mcb
May 2019 - Dec 2022
A large-scale mechanical components benchmark for the classification and retrieval tasks named Mechanical Components Benchmark (MCB)
Contributions:84 commits, 1 PR, 35 pushes in 3 years 8 months
mechanicalscalebenchmarklarge-scaleretrieval
stnoah1/homepage
Sep 2019 - May 2023
Contributions:29 pushes, 2 branches in 3 years 8 months
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