Michael Dawson
Michael Dawson is a Senior Principal Software Engineer at Red Hat, with a focus on building AI and LLM applications as part of the ecosystem engineeing team. Before moving into the AI space, he was a key contributor to Node.js as the technical lead for IBM and Red Hat's team and a member of the Node.js Technical Steering Committee.
Proposals - Montreal 2026
Fast-Track AI & LLM Deployment on Kubernetes
Deploying AI applications, particularly large language models (LLMs) on Kubernetes at scale, presents significant challenges. This talk will introduce technology and use case "quick starts" to get you to a working solution faster. We'll show how to leverage containerization, reusable components, and common patterns to streamline your development and accelerate your path to production.
Ramping up on Llama Stack for developing AI applications
Llama Stack is Meta's open-source framework designed to simplify the development and deployment of generative AI applications. It provides a consistent set of APIs regardless of the programming language you use (including Node.js, Python, and more). In this talk, we'll introduce you to the core concepts of Llama Stack and how it can help you build robust applications more efficiently.
The Crucial Role of AI Evaluations
Building applications with AI and large language models (LLMs) adds a new layer of variability that makes testing difficult. Since interactions can be subtly different each time but still correct, traditional testing tools often fail. In this talk, we'll share our journey using the open-source tool deepeval to evaluate multi-turn conversations, tune prompts, and ensure our AI applications are reliable so that we could sleep at night.
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