Summary
Michael Riedel is a Machine Learning Scientist with nine years of experience designing and deploying production AI systems, specializing in computer vision for industrial applications. He combines academic rigor from a PhD in Medical Physics with hands-on engineering at Skadra and long-term research roles at Florida International University, bridging research and product-ready solutions. His background in medical physics informs a data-driven, safety-conscious approach to model development and deployment, particularly for high-stakes imaging and inspection tasks. Michael is comfortable taking algorithms from prototype through validation to scalable production pipelines, often working at the intersection of applied research and industry constraints. Based in Canada, he brings a track record of translating complex scientific problems into robust engineering outcomes and a knack for spotting practical improvements that make models usable in real-world environments.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Medical Physics, Doctor of Philosophy (PhD), Medical Physics at The University of Texas Health Science Center at San Antonio
Bachelor's degree, Physics, Bachelor's degree, Physics at Texas Lutheran University