Summary
Qiyu Zhi is a research scientist with 11 years of ML and applied research experience, currently building multi-modal LLMs for AR applications such as Ray-Ban smart glasses at Meta. Previously he led multi-model efforts to detect imposters and bad actors across Facebook, Instagram, Threads and Profiles, blending graph- and content-based approaches for integrity systems. His PhD work at Notre Dame produced real-time intelligent pipelines for sports analytics—combining video labeling, NLP, and visualization—showing a knack for turning noisy, high-volume data into actionable summaries. He has a strong track record of productionizing research from internships at Facebook and Fujitsu to deployed integrity products, and brings both deep algorithmic knowledge and hands-on systems engineering to bridge research and product. An interesting thread through his career is repeated emphasis on linking text, visual, and graph signals to solve real-world problems at scale.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Beijing University of Posts and Telecommunications
Henan experimental middle school
Doctor of Philosophy (PhD) computer science, Doctor of Philosophy (PhD) computer science at University of Notre Dame
coursera
Chinese, English