Agentic AI with Microsoft Foundry

Balamurugan Balakreshnan is a principal cloud solution architect at Microsoft Data/AI Architect and Data Science. He has provided leadership on digital transformations with AI and cloud-based digital solutions. He has also provided leadership in terms of ML, the IoT, big data, and advanced analytical solutions. Sina Fakhraee, Ph.D., is currently working at Microsoft as an enterprise data scientist and senior cloud solution architect. He has helped customers to successfully migrate to Azure by providing best practices around data and AI architectural design and by helping them implement AI/ML solutions on Azure. Prior to working at Microsoft, Sina worked at Ford Motor Company as a product owner for Ford's AI/ML platform. Sina holds a Ph.D. degree in computer science and engineering from Wayne State University and prior to joining the industry, he taught various undergrad and grad computer science courses part time. Jay Padhya is a Senior Cloud Solution Architect at Microsoft with a passion for solving complex problems and helping enterprises achieve more with technology. He has extensive experience in data science, enterprise architecture, and scalable solution delivery across industries. Before Microsoft, Jay was a Senior Data Scientist at CVS Health-Aetna and Lead Data Scientist at Stellantis, where he built and optimized machine learning solutions in healthcare and automotive domains. His earlier roles include data analysis and visualization at Exide Technologies, and serving as a Business Analyst leading technical implementations for SaaS platforms. Jay holds a Master's degree from Northeastern University and is a certified Business Analyst (IIBA, Canada). He also completed a co-op as a FIX Data Scientist at Charles River Development, contributing to financial algorithm development and cloud deployments. Minsoo Thigpen is a Principal Product Manager at Microsoft, where she leads product initiatives for generative AI safety evaluations and automated red teaming within Azure AI Foundry, Microsoft's platform for building and securing generative AI systems. She develops enterprise-grade tools that help organizations measure model safety, uncover vulnerabilities, and ensure the security of AI models, applications, and agentic systems. With more than seven years in the Responsible AI space, Minsoo has helped shape how practitioners assess and govern AI through both open-source contributions and engineering leadership. Her work includes contributions to interpretability, fairness, and accountability toolkits such as InterpretML, Fairlearn, Error Analysis, and the Responsible AI Toolbox. At Microsoft, she has built scalable, automated safety evaluation and AI red teaming frameworks that support proactive risk identification and mitigation in generative AI workflows. Minsoo's contributions span technical innovation and community impact, empowering developers and enterprises to adopt trustworthy AI practices at scale.