Summary
Tanner O'rourke is a production-focused ML practitioner and MS in Artificial Intelligence student at UT Austin with eight years of experience building high-traffic, reliable systems for DirecTV and Warner Bros. He specializes in translating research into production—shipping spatiotemporal wildfire models, EHR pipelines for mental-health surveillance, and robustness work in NLP—while preserving engineering rigor from his production engineering background. At DirecTV he led performance and accessibility initiatives that materially improved user experience and reduced legal risk, and he has a track record of modernizing shared libraries and CI/CD to scale teams. Drawn to applied ML systems, generative modeling, and human-centered AI, he favors augmentative models that integrate into real workflows rather than replace people. Based in Seattle, he’s actively exploring ML Engineer roles that combine production engineering expertise with applied ML research.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at The University of Texas at Austin
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachelor of Science Computer Science, Bachelor of Science Computer Science at University of Colorado Boulder
English, Spanish