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.
10 years of coding experience
8 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
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