Michael Albada
Principal Applied Scientist
Michael Albada is a machine learning engineer and applied AI researcher focused on building agentic systems that bridge research and real-world impact. At Microsoft, he leads initiatives applying generative AI to cybersecurity, helping protect organizations and individuals through intelligent automation. Michael has previously developed large-scale ML systems for geospatial intelligence at Uber and natural language understanding at ServiceNow. His work spans consumer products, enterprise SaaS, and applied research, with deep expertise in foundation models, recommender systems, NLP, and scalable ML infrastructure, and he holds a B.A. from Stanford, MPhil from Cambridge, and an MS in computer science from Georgia Tech. He is the author of the upcoming O’Reilly book Building Applications with AI Agents, a practical guide to designing and deploying single- and multi-agent systems with foundation models. As a speaker, Michael brings a passion for turning complex research into actionable insights—and for equipping engineers to build the next generation of AI-powered applications.
Session
- AI Architects TalkBuilding Applications with AI Agents
Wed 4 Jun, 11:35 – 11:55·SOMA: AI Architects