Brian Davis
Applied Scientist at Microsoft
Pleasant Grove, Utah, United States
Summary
👤
Senior🎓
Top SchoolBrian 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
Github Skills (48)
graph10
handwriting-recognition10
generative-adversarial-network10
parsing10
handwriting10
pytorch9
lstm9
deep-learning9
scene-text9
optical-character-recognition8
python8
easyocr8
tesseract8
machine-learning8
statistics8
Programming languages (5)
Github contributions (5)
herobd/FUDGE
Feb 2019 - Mar 2022
Code for the ICDAR2021 paper "Visual FUDGE: Form Understanding via Dynamic Graph Editing"
Contributions:2 releases, 1086 commits, 16 pushes in 3 years
graph
herobd/mr
Sep 2017 - Nov 2020
Contributions:56 pushes, 1 branch in 3 years 2 months
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