Michael M.

Michael M. is a seasoned professional in machine learning and software engineering, currently serving as a Machine Learning Leader at Apple since August 2018, focusing on ranking and recommendation systems, personalized ML, private federated learning, and ML training and deployment pipelines. Additionally, Michael has been a Mentor at 500 Startups, assisting entrepreneurs in scaling their companies, and served as an Advisor at Techstars, providing ML strategy and implementation guidance. Previously, Michael held a Software Engineer position at Google, where contributions included developing a robustness estimation engine for diabetes prediction and complex distributed systems for data management. Early career experience includes work as a Wireless Mesh Network Engineer at GE, leading network analysis for a lighting project and designing tools for efficiency. Michael's academic background includes a Master of Science in Artificial Intelligence from Stanford University and a Bachelor of Science in Electrical & Computer Engineering from The Ohio State University, complemented by a degree in Philosophy from Regina Apostolorum.