Michael Dyer

Michael Dyer is an experienced Staff Machine Learning Engineer at Snapdocs, overseeing various Data Science services and contributing to company-wide architecture as a member of the Tech Council. Michael's expertise includes developing innovative machine learning products, such as a Signature Detection tool that generates significant revenue. Previous roles span across numerous companies, including Boulder AI, Pearson, and Orderly Health, where Michael implemented cutting-edge solutions in machine learning, real-time data visualization, and model optimization. Education includes a Bachelor’s Degree in Neuroscience from Hamilton College and further studies at the University of Pennsylvania and Galvanize Inc.