Maarten Vandeperre

Senior Specialist Solutions Architect (AppDev & AI)
Red Hat
Belgium

About

Maarten Vandeperre is an experienced software professional who recently joined Red Hat as an Application Development & AI Specialized Solutions Architect. With a strong background in software development and architecture, he brings a wealth of expertise to his role. Maarten’s primary focus is on application development and AI, with particular emphasis on leveraging Red Hat OpenShift from a developer’s perspective.One of Maarten’s key passions is advocating for clean architecture as a guiding principle in software development. He firmly believes in designing software systems that are modular, maintainable, and scalable. As part of this approach, Maarten works to map these principles to infrastructure solutions, ensuring that the underlying technology supports and enhances the overall architecture. His deep understanding of integration technologies—such as API gateways, Keycloak, Kafka, service mesh, and Apache Camel—enables him to create seamless connections between systems while adhering to clean architectural principles that empower organizations to thrive in an ever-evolving digital landscape.
Talk

Embedding AI: Don’t burn your fingers in the heat of the AI revolution

Sovereign AI, Platform Engineering, Production Grade AI, AI Platform
AI is one of the hottest topics in tech today, but embedding it into your systems is far from straightforward. It’s not just about deploying a model and connecting it with LangChain4j; you’ll need to make key decisions about build methods, how to synchronize and secure data, and ensure proper monitoring for bias and drift. Without careful planning, integrating AI can lead to serious issues such as unfair outcomes, data security breaches, and unreliable predictions. The stakes are high, and getting it wrong can result in real-world consequences that impact trust and business performance.In this hands-on session, Maarten Vandeperre will demonstrate how to avoid some of the common “burns” experienced when integrating AI into systems. He will walk participants through how to safely embed an AI model into a platform. Together, you’ll explore how to address challenges like governance, security, and monitoring while ensuring the system operates reliably and fairly.By the end of the session, attendees will leave with a clear understanding of how to integrate AI effectively and responsibly into complex systems.