Live at 7:30 AM CT | 15 minutes + optional roundtable
Outdated knowledge systems are slowing teams down and confusing customers. In just 15 minutes, we’ll show you how AI—specifically Retrieval-Augmented Generation (RAG)—is fixing that.
Each session in this four-part series builds on the last, giving you actionable insight without the fluff. Join one or attend all four for the full story.
All sessions start at 7:30 AM Central Time
Grab your coffee, choose your sessions, and join us.
A results-driven technology leader with deep expertise in Microsoft and Azure platforms, I specialize in delivering scalable AI and MLOps solutions tailored to the financial services industry. I've architected and deployed custom three-step MLOps pipelines on Azure—covering model training, evaluation, and deployment—to support mission-critical services accessed via secure APIs. These systems power data-driven decision-making at scale, processing millions of transactions daily with high availability and regulatory compliance. My work with Azure AI Studio and Azure AI Foundry focuses on implementing fit-for-purpose large language models (LLMs), optimized for domain-specific use cases and aligned with industry standards for accuracy, fairness, and operational performance. As an early adopter of agentic AI, I’ve led the development of intelligent, autonomous systems using the .NET Semantic Kernel—leveraging planning, orchestration, and contextual memory to enable complex, multi-step task execution. I also spearheaded the development and implementation of Model Context Protocol (MCP) capabilities, allowing applications to dynamically extend themselves with context-aware, agentic reasoning. My background includes deep integration with high-volume data environments, enabling real-time insights and compliance-ready analytics. I bring a unique blend of cloud architecture, machine learning, and applied AI expertise—translating cutting-edge technologies into meaningful business outcomes.