Reliable ML

Todd Underwood leads reliability for the Research Platform at Open AI, working to improve the reliability and usability of the software and systems that train some of the best models in the world.

Prior to that, he was a Senior Engineering Director at Google leading ML capacity engineering in the office of the CFO at Alphabet. Before that, he founded and led ML Site Reliability Engineering, a set of teams that build and scale internal and external AI/ML services and are critical to almost every Product Area at Google. He was previously the Site Lead for Google’s Pittsburgh office. He recently published Reliable Machine Learning: Applying SRE Principles to ML in Production (O’Reilly Press, 2022).

Todd has primary expertise in distributed systems, especially for Machine Learning / AI pipelines, although he also has a background in systems engineering and networking. In addition to Reliable Machine Learning, Todd has presented work on ML at various conferences and forums including OPML20 and TWIMLCon 21 and 22. He has presented work on the future of systems and software reliability engineering at LISA13, LISA16 and SREConEU15, SREConEU 22. He is a co-author of a chapter in the O'Reilly SRE Book. He has published three articles in Usenix’s; login: magazine. He has presented work related to Internet routing dynamics and relationships at NANOG, RIPE, and various Internet interconnection meetings. He served on the Program Committee for OPML, was Chair of the NANOG Program Committee, and helped found the RIPE Programme Committee.

He is interested in how to make computers and people work much, much better together.

Niall Murphy has been interested in Internet infrastructure since the mid-1990s. He has worked with all of the major cloud providers from their Dublin, Ireland offices - most recently at Microsoft, where he was global head of Azure Site Reliability Engineering (SRE). His books have sold approximately a quarter of a million copies world-wide, most notably the award-winning Site Reliability Engineering, and he is probably one of the few people in the world to hold degrees in Computer Science, Mathematics, and Poetry Studies. He lives in Dublin, Ireland, with his wife and two children.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

David is one of the organizers of the MLOps Community. He is an engineer, teacher, and lifelong student. He loves to build solutions to tough problems and share his learnings with others. He works out of NYC and loves to hike and box for fun. He enjoys meeting new people so feel free to reach out to him!