Summary
Yuqiao Chen is an AI/ML engineer and Ph.D. researcher in computer science with nine years of experience building production-grade machine learning systems and research-grade probabilistic graphical models. He has combined academic depth in lifted continuous inference, probabilistic graphical models and reinforcement learning with hands-on product engineering—leading core ML and infrastructure work at Meta and founding ML-driven product features at AuxHealth, including memory systems, hierarchical knowledge graphs, continuous RAG, and EHR integration. At Meta he improved ads ranking with novel GNN architectures and a training scheduler that cut resource use by over 80%, and earlier internships honed his skills in large-scale data pipelines and hybrid neural-graphical approaches. Now based in McKinney, Texas and currently at Beakon, he bridges research and engineering to deliver applied AI that scales, with a particular knack for turning structured medical and relational data into interactive, production-ready experiences. A less obvious strength is his full-stack fluency—he has contributed to frontends, voice systems and mobile apps in addition to core ML and backend services—making him effective at shipping end-to-end ML products.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Dallas
Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Southwest University of Science and Technology