Chang Gao

LLM Research Engineer at Apple

Cupertino, California, United States
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Summary

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Rockstar
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Top School
Chang Gao is an LLM Research Engineer in Cupertino with a decade of experience building multimodal generative AI and robotic perception systems. He moved from on-vehicle ML and LiDAR/vision work at Waymo—leading collision and adversarial-behavior detection and multimodal perception training/deployment—to R&D on foundation multimodal LLMs at Apple. His background blends rigorous academic computer-vision training from CMU and HKU with hands-on production safety engineering, giving him rare fluency across research, model training, and safety-critical deployment. Known for tackling multimodal integration between vision, LiDAR, and language, he focuses on making advanced AI practical and safe for real-world systems. Based in Cupertino, he combines robotics instincts with generative-AI craft to ship models that behave robustly under adversarial and operational constraints.
code10 years of coding experience
job8 years of employment as a software developer
bookThe University of Hong Kong (HKU)
bookMaster of Science Computer Vision, Master of Science Computer Vision at Carnegie Mellon University
languagesChinese, English
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Github Skills (7)

data-structures10
algorithms10
cpp10
siggraph10
pytorch8
database8
deep-learning7

Programming languages (1)

HTML

Github contributions (5)

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changgyhub/ufldl

Jun 2016 - Apr 2017

Contributions:62 commits, 61 pushes, 1 branch in 9 months
changgyhub/computer-vision

Mar 2017 - Jan 2018

Contributions:23 commits, 9 pushes in 10 months
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Chang Gao - LLM Research Engineer at Apple