Summary
Yang Zou is a Principal Applied Scientist at Amazon AGI with nine years of experience building multi-modal foundation models, large language models, and agentic AI systems at billion-scale data regimes. He was a core contributor to Amazon Nova, Nova Canvas, and the Titan Image Generator, bridging research and product delivery for production-grade multi-modal capabilities. A CMU PhD, he combines deep academic rigor with hands-on engineering from internships at NVIDIA and GM to ship large-scale ML systems. Yang’s work focuses on data-centric AI and scalable model engineering, and he maintains an active research presence with publications and a public portfolio showcasing reproducible models and experiments.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Carnegie Mellon University