Hang Cui is an AI engineering leader with 11+ years of experience building high-performing organizations that turn foundation-model research into production-grade systems at Meta and other major tech companies. Currently Director of Engineering at Meta, he leads teams across advanced content understanding, LLM-driven recommendation systems, large-scale AI evaluation, and next-generation training/inference infrastructure—delivering measurable product impact while optimizing cost and performance. His background spans Google, Compass, Yahoo, and research internships, where he scaled ML platforms and revved up time-to-production for ranking and payments systems managing teams of 30–40 engineers. Trained to a Ph.D. in Information Retrieval and NLP, he operates at the intersection of engineering, product, and research, with a track record of shipping complex ML workflows, agentic data automation, and evaluation tooling. Known for pragmatic technical rigor, he reduces operational overhead through automation and accelerator-aware optimizations that are easy to overlook from a product perspective.
11 years of coding experience
5 years of employment as a software developer
B.E., Management Information Systems, B.E., Management Information Systems at Tianjin University
Ph.D., Computer Science (Information Retrieval and Natural Language Processing), Ph.D., Computer Science (Information Retrieval and Natural Language Processing) at National University of Singapore
Contributions:195 commits, 114 pushes, 6 branches in 6 months
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