Chang Gao
Research Engineer at Apple
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChang 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.
11 years of coding experience
6 years of employment as a software developer
The University of Hong Kong (HKU)Master of Science, Computer Vision, Master of Science, Computer Vision at Carnegie Mellon University
Chinese, English
Github Skills (5)
data-structures10
algorithms10
cpp10
siggraph10
database9
Programming languages (1)
Github contributions (5)
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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