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MEET THE SPEAKERS

18 JUNE
The AI Coding Summit features experienced engineers, AI practitioners, and industry experts working at the forefront of applied AI and modern software engineering.
Through technical keynotes and focused sessions, speakers explore AI-powered software architectures, Python-based AI development, RAG and agentic systems, and the integration of AI into CI/CD pipelines and SaaS platforms.
Code the future of AI at AI Coding Summit!

Lee Stott
Principal Cloud Advocate, CoreAI, Developer Relations
As part of Microsoft’s Developer Relations organization, Lee leads a global team driving innovation in Artificial Intelligence and Azure. Their work centres on empowering customers through digital transformation, showcasing how Microsoft’s tools, services, and technologies can unlock new possibilities. Lee is deeply embedded in every phase of the journey, from architectural brainstorming and pair programming to code reviews, documentation, and community storytelling. Whether guiding strategic decisions or rolling up their sleeves to co-build solutions, Lee ensures that technical excellence and developer empathy go hand in hand. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: One Endpoint, Many Models: Smarter AI with Foundry Model Router 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: Session overview Automate model selection with Microsoft Foundry Model Router to ship faster and spend less As teams adopt multi‑model AI, developers are stuck making hard trade‑offs between cost, latency, and quality, often by hand. In this session, you’ll see how Microsoft Foundry’s Model Router acts as an intelligent runtime layer that automatically selects the best model per request based on performance, cost, and latency targets. Instead of hard‑coding model choices or constantly tuning configs, developers can focus on building features while the router handles optimization, scaling, and operational complexity. Fewer decisions, faster iteration, and production‑ready AI without model sprawl.

Mihaela Gheorghe-Roman
Experienced Software Architect
𝗠𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿: Mihaela is a Software Architect at Systematic Romania and an Oracle ACE Associate for Java. She holds a Ph.D. in artificial neural networks and is also a university lecturer. With over 14 years in telecom and defense, she has focused on Java and modern technologies. Passionate about sharing knowledge, she also enjoys sports, traveling, and taking care of her parrots.

Yuriy Bezsonov
Senior Solutions Architect
Yuriy is a Senior Solutions Architect at AWS with over 25 years in tech, having progressed from software developer to engineering manager to Solutions Architect. A passionate Agentic AI content creator and Spring AI contributor, he speaks at AWS re:Invent and major industry events on AI, developer experience, and cloud-native architectures. Yuriy helps partners and customers build solutions across GenAI, application modernization, containers, Kubernetes, Java, and SaaS. He holds AWS and Kubernetes certifications and is a recipient of the AWS Golden Jacket. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: From Patterns to Production: Building AI Agents with Java and Spring AI 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: Building production-grade AI agents demands solid architecture, proven design patterns, and the right mix of open source frameworks and cloud services. This technical deep-dive shows how to build agentic AI solutions using Java and Spring AI, covering conversation memory, RAG, tool calling, and Model Context Protocol (MCP) for integration with external systems. You'll see how Spring Boot and Spring AI pair with cloud services — from managed model inference and vector stores to serverless runtimes — to create flexible, production-ready solutions. Leave with practical patterns to build, deploy, and operate AI agents at enterprise scale.

Ben Smith
Staff Developer Advocate
With more than 15 years of experience across cloud and fintech, Ben has helped shape how modern platforms are built, adopted, and scaled. Through roles at AWS, Stripe, and Broadcom, he has worked at the intersection of product, engineering, and developer communities, turning complex technology into practical, real-world impact. Ben brings a rare blend of technical depth and strategic perspective, connecting builders with business priorities and helping organizations move from experimentation to execution. Whether speaking at conferences or working directly with developers, he focuses on making emerging technology clear, actionable, and valuable. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: When BUY Becomes a Function Call: Building the Future of Agentic Commerce 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: AI agents are quickly becoming a new interface for commerce. As purchasing shifts from traditional web flows to LLM-driven interactions, developers need practical ways to enable secure, reliable agent-initiated transactions. This talk explores how to implement agent-driven commerce using emerging protocols and permission-based payment token models. We’ll focus on real implementation patterns, security boundaries, and UX considerations required to make agentic payments predictable and trustworthy. Attendees will leave with a clear understanding of how agent-driven transactions work under the hood and how to design systems that support AI-native purchasing experiences.

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