MCP (Model Context Protocol): What It Is and Why It Matters
A practical introduction to the Model Context Protocol, how it changes AI integration, and real-world implementation patterns.
A practical introduction to the Model Context Protocol, how it changes AI integration, and real-world implementation patterns.
Moving beyond demos to production-ready AI agents. Architecture decisions, observability, and lessons from real deployments.
The common patterns that sink AI initiatives, and the engineering and organizational practices that lead to success.
Designing data platforms that support AI workloads. Technical decisions that matter and abstractions that scale.
For engineers moving into leadership. Communication, stakeholder management, and delivering business value.
Thinking in value, not features. How to position technical work for business impact.
Every event has its own rhythm. I adapt the format to fit the audience and the outcome you are working toward, whether that is a stage keynote, a candid panel, a long-form podcast, a workshop for engineering teams, or an unscripted fireside conversation.
Structured, narrative-driven sessions on AI delivery, data architecture, and production systems.
Moderated conversations alongside other practitioners, focused on real-world trade-offs rather than talking points.
Extended conversations designed for audio and video distribution, with room to go deep on nuance.
Working sessions for engineering teams that pair practical exercises with architectural framing.
Unscripted formats that thrive on audience questions and reward candour over polish.
Every talk is grounded in practical experience. I focus on what actually works in production, not theory or hype.
Interested in having me speak at your event, podcast, or company? Let's discuss.