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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.
Adnan Olmez
General Manager
Adnan Olmez is the General Manager of AD/01, the digital technology center of Ahold Delhaize, one of the world’s largest food retail groups. Based in Bucharest, Adnan leads a growing team of engineers, product managers, data experts, and designers focused on building the next generation of digital products that power Ahold Delhaize’s local brands across Europe. With over 15 years of international experience in technology, product development, and digital transformation, Adnan is passionate about creating scalable tech solutions that deliver real business impact. He has a strong track record of leading cross-functional teams, driving innovation, and bridging business and technology in complex, fast-moving environments. At AD/01, Adnan is focused on building a high-performance, purpose-driven organization that enables Ahold Delhaize to stay ahead in the rapidly evolving world of retail. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: Opening Speech AI Coding Summit
Dominik Nowatschin
Senior AI Engineer
Dominik Nowatschin is a Senior AI Engineer at Tchibo and leads the build-out of the company’s agentic AI platform as a foundation for scalable business transformation. With a background spanning physics, software engineering, data science, and analytics, he combines technical depth with a strong focus on practical enterprise impact. His work covers both the platform capabilities that enable agentic AI at scale and generative AI solutions that turn unstructured information into actionable insights and business-ready workflows. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: No Decaf: Building the Platform that Fuels Tchibo's Agentic AI Transformation 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: A year ago, Tchibo made a pivotal decision: the future belongs to agentic AI. What followed was a journey to build our own agentic AI platform from the ground up, giving us flexibility, ownership, and deep control over how AI is applied across the business. Today, that platform is becoming a backbone of Tchibo’s broader transformation, helping empower employees with AI in their daily work and rethinking key processes end to end.
Eric Deandrea
Java Champion & Senior Principal Software Engineer
Eric Deandrea is a Java Champion and Senior Principal Software Engineer at IBM on the Quarkus and LangChain4j engineering teams. With 27+ years of experience, he specializes in designing and building Java-based solutions. Eric contributes to OSS projects including Quarkus, LangChain4j, Spring, Testcontainers, WireMock, and Microcks, and leads the Docling-Java project. He regularly speaks at global conferences and user groups worldwide, and authored “Quarkus for Spring Developers.” Outside work, he enjoys boating in New Hampshire, ice hockey, and holds a black belt in Kempo Karate. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: Reinventing Testing Practices in The AI Era 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: AI-infused applications demand a rethinking of our testing practices. Developers face a new class of challenge as LLMs become standard integration points in modern applications: non-deterministic behavior that traditional testing approaches were never designed to handle. The current wave of distributed, orchestrated, agentic AI systems is evolving fast and, if we're being honest, it smells a lot like the early days of microservices. In this session, we'll explore how your DevOps and testing practices must evolve when you wire AI into your applications. Not all AI failures look the same, and recognizing the difference is the first step toward building systems you can actually trust. We'll walk through practical testing and observability strategies, using open source tools that give you confidence in AI-infused applications at every layer of the stack. You'll leave with a concrete mental model for reasoning about AI failures and one grounding question: What if AI was just an API call?
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.
Ovidiu Kislaposi
Product Owner — D&A Power Platform Governance & Solutions squads
Ovidiu is a seasoned Product Leader with 15+ years of experience driving digital transformation across banking, fintech, and enterprise tech. Currently leading AI-driven product initiatives in a global organization, he focuses on the layer where strategy meets execution — turning Power Platform, generative AI, and emerging agentic systems into products that actually solve real problems. As AI shifts from generating answers to taking actions, Ovidiu is increasingly drawn to the harder, more human question behind it: not can we build autonomous systems, but should we, and where do we keep humans in the loop? He bridges business goals and customer needs to ensure that AI isn't just powerful — it's pointed in the right direction. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: From Curator to Orchestrator: Building with Agents that ACT 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: Last year we asked how AI could help us build better products. This year the question has sharpened: what happens when AI stops answering and starts acting? Agentic systems are moving from demo to production — calling APIs, shipping code, processing transactions, talking to our customers. The bottleneck has moved with them. It's no longer the quality of the answer; it's the quality of the intent we hand to the machine. This session explores how the role of developers and product leaders evolves from curators of insights to orchestrators of intent — people who set goals, design guardrails, and decide which decisions an agent can make alone, and which still belong to humans. Expect honest stories from the field, a parable about an AI that followed every rule and still got it wrong, and three concrete principles for building agentic systems that amplify the human instead of erasing the humanity.
Jonas Warmuth
Senior Manager AI Transformation & Enablement
Jonas Warmuth is Senior Manager AI Transformation & Enablement at Tchibo. He works at the intersection of AI transformation, enablement, and business adoption, with a strong focus on turning AI from isolated experiments into practical change across teams, workflows, and operating models. At Tchibo, he helps shape how AI is embedded into day-to-day work and broader transformation initiatives across the business. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: No Decaf: Building the Platform that Fuels Tchibo's Agentic AI Transformation 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: A year ago, Tchibo made a pivotal decision: the future belongs to agentic AI. What followed was a journey to build our own agentic AI platform from the ground up, giving us flexibility, ownership, and deep control over how AI is applied across the business. Today, that platform is becoming a backbone of Tchibo’s broader transformation, helping empower employees with AI in their daily work and rethinking key processes end to end.
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.
Allison Farris
Developer Advocate
Allison Farris is a developer advocate at Stripe, where she helps developers go from idea to production by simplifying how they build with payments and complex systems. With a background spanning software engineering, cloud architecture, and technical strategy across Stripe and Microsoft, she specializes in translating deep technical concepts into clear, practical insights developers can immediately apply. 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.
Tudor Arsenescu
Senior Manager
Tudor Arsenescu is a Senior Manager at MHP Romania and Business Area Lead for Software Defined Vehicles. With over 15 years of experience in automotive and embedded systems, he focuses on AI-driven in‑car software, ASPICE-compliant development, and scalable SDV architectures. Tudor leads cross‑functional teams delivering next‑generation assistive solutions for OEMs. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: Android In Car Assistant Solution Blueprint 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: This session presents the Android In Car Assistant, an LLM‑powered digital co‑pilot designed for Android Automotive. The talk covers the solution architecture, local LLM and RAG integration, ASPICE‑aligned development lifecycle, and performance results achieved on automotive hardware. Attendees will gain insights into privacy‑first, low‑latency AI deployment and scalable in‑car assistant design.
Alexander Amin
Freelance AI Engineer - Google Developer Expert
I'm Alex, AI Engineer, Cloud Consultant, and founder based in Frankfurt. For over 12 years, I’ve built production-grade software, bridging the gap between AI models and scalable execution. Now, I advise enterprise clients like Deutsche Bahn on AI and architect a native legal AI platform. Previously, I managed tech partnerships at the ARD (with Google, Amazon, and Telekom) and founded a software agency at 23 that was acqui-hired by an NfX funded Startup. As GDE in Cloud AI, I often give technical talks internationally. Alongside German and English, I speak Spanish, Portuguese, Dutch, and Dari. 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝐓𝐢𝐭𝐥𝐞: When RAG Can't Be Wrong: Building a Legal AI Agent for Latin America 𝗦𝘆𝗻𝗼𝗽𝘀𝗶𝘀: Legal AI demands zero hallucination. Every citation must reference a real law. I'll walk through a pilot we're running with a Central American law firm: how we built a RAG system over codes, laws, decrees and case law. Where the AI agent searches, evaluates its own answer, and only responds when it can cite real legislation. (Note - I am not a lawyer).
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