Summary
Brian Davis is an applied scientist with 12 years of experience specializing in computer vision and document intelligence, now fine-tuning LLMs for Copilot on Microsoft’s Turing team. His PhD work at BYU and roles at AWS Textract and Adobe translate deep research—spanning CNNs, RNNs, GANs, GCNs and Transformers—into production-ready systems for extracting and understanding information from document images. He combines hands-on data creation, training, and evaluation with a pragmatic focus on solving real-world problems rather than chasing novelty. A prolific experimenter who started graduate school during the deep learning boom, he brings both academic rigor and product-oriented delivery to ML projects. Based in Pleasant Grove, Utah, he balances a strong research pedigree with applied engineering across industry and academia. Outside work he emphasizes family and community, which influences his collaborative and service-minded approach to team science.
12 years of coding experience
12 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Brigham Young University