Summary
Chao Zhong is a founder and AI practitioner with over a decade of experience building production-grade machine learning systems for startups and global enterprises. He specializes in designing AI agents, semantic search, and multimodal embeddings powered by LLMs and vector databases, and currently leads a stealth startup delivering products across video intelligence, talent matching, clinical trial discovery, and patent search. Previously he led Risk Data Science at Wish and held senior data science roles at Intuit, Snap, and Microsoft, where he delivered low-latency risk models, customer lifetime value and demand forecasting innovations. His background blends rigorous quantitative training (PhD-level mathematics work and a MS in Financial Engineering) with hands-on engineering across real-time ML pipelines and embedding architectures. Notably, his startups emphasize deep relevance and semantic UX—turning complex multimodal signals into concise, actionable summaries for users. He combines research-grade methods with product-first thinking to move prototypes into scalable, user-focused AI services.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Candidate Mathematics, Doctor of Philosophy (Ph.D.) Candidate Mathematics at Michigan Technological University
Master's degree Financial Engineering, Master's degree Financial Engineering at Fox School of Business at Temple University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Beijing University of Aeronautics & Astronautics
Chinese, English