Summary
Yi Zhang is a CTO and research-driven AI leader with a decade of experience building systems that synthesize heterogeneous data, plan across long horizons, and continuously learn from memory and feedback. With a PhD from the University of Pennsylvania and hands-on roles at AWS AI Labs (where he worked on Titan foundation models, RAG systems, and memory for agents), he bridges cutting-edge NLP research and product-grade engineering. He has a track record of turning research into real-world assistants for high-stakes domains, combining expertise in planning, evaluation automation, and post-training methods like SFT and RLHF. Comfortable in both startup and cloud-scale environments, he has interned at Google, Microsoft Research, and IBM, and brings a practical bent for tailoring algorithms to diverse business needs. An uncommon strength is his dual background in computer science and accounting, which informs a pragmatic, metrics-oriented approach to AI system design.
10 years of coding experience
12 years of employment as a software developer
Bachelor's degree Computer Science and Accounting (double major), Bachelor's degree Computer Science and Accounting (double major) at Fudan University
University of California, Los Angeles
Doctor of Philosophy (Ph.D.) Computer and Information Science, Doctor of Philosophy (Ph.D.) Computer and Information Science at University of Pennsylvania