Summary
Ethan Robards is a software developer and machine learning researcher with nine years of hands-on experience building practical AI systems and full-stack web services. Currently at The University of Tulsa, he contributes to an IBM-contracted ML project using Python and TensorFlow for non-privacy-invasive activity detection and is co-authoring a pending publication. His background spans applied research (HICSS paper co-author), production engineering, and startup architecture—having designed scalable Django services and improved search algorithms for research indexing. Beyond standard ML work, he combines reverse-engineering curiosity and fast, game-oriented prototyping skills (self-described sonic speedrunner and game developer) to solve unusual engineering problems. Based in Tulsa, OK, he brings a blend of academic rigor and product-focused execution that turns experimental research into deployed, auditable systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Tulsa