Summary
Ryan Gooch is a Machine Learning Solution Architect with nine years of experience delivering scalable ML platforms and research-driven solutions across aerospace, energy, and weather domains. Based in Denver, he currently leads ML architecture at phData, where he designed a data-driven Support Intelligence platform using LLM agents and streamlined ML environment provisioning to boost adoption and reduce support load. In prior roles at phData and Tellus, he enhanced model adoption through simpler APIs and hands-on workshops, and he led Tellus’s development of ML models for radar-based activity classification and real-time inference. At PlanetiQ and Colorado State University, he built high-precision pipelines for satellite positioning and meteorological radar, including centimeter-level estimates and near-pixel key-point detection for photogrammetry. He holds a Ph.D. in Electrical Engineering from Colorado State University and MS/BS degrees from the University of Kentucky, reflecting a strong blend of rigorous research leadership and practical, production-focused engineering.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering, 3.7/4.0, Doctor of Philosophy (Ph.D.), Electrical Engineering, 3.7/4.0 at Colorado State University
BS, Electrical Engineering, 3.4/4.0, BS, Electrical Engineering, 3.4/4.0 at University of Kentucky