Summary
Fangxu Yuan is a software engineer and AI researcher with 13 years of experience building production-grade, cost-efficient systems and ML applications across AWS and academic labs. He has led end-to-end development of high-throughput, highly available systems—such as a Real Name Verification service handling 10k+ DAU—and production Generative AI applications tailored for the China region. At UVA he blends temporal deep learning and multimodal sensing for healthcare, contributing to peer-reviewed work on predicting medication adherence and adverse events and evaluating LLMs in safety-critical settings. Comfortable from data-warehouse design and distributed systems to model fine-tuning and inference optimization, he thrives on shipping deployable solutions that bridge research and real-world impact. A practical collaborator who has owned integration testing and on-call operations, he brings both rigorous engineering discipline and research curiosity to applied AI problems.
13 years of coding experience