Carl Lapierre
Carl is a Lead AI Engineer driving innovation through intelligent systems across healthcare, manufacturing, and mining at Osedea. With over a decade of experience in software development, he leads high-impact AI initiatives focused on agentic systems, context engineering architectures, and large language model (LLM) integration, building solutions that enhance decision-making, automation, and adaptability in complex environments.
Montreal 2026 sessions
Instrument and Govern AI Agents Before They Go Rogue
English session - Intermediate
Agents need more than prompts, they need supervision. As teams move from experiments to production, they learn that agents are unpredictable, opaque, and prone to silent failure. Observability isn’t optional; it keeps agents aligned and users safe. This talk explores LLM observability: what to track, how, and why. We’ll compare various observability tools, and show how GenAI semantic conventions enable structured tracing at scale.
The Art of Context Engineering
English session - Beginner
Agents fail for two reasons: the model you're using isn’t good enough, or the context is a mess. Today, we focus on the mess. LLMs are pure functions, what goes in determines what comes out. That’s why context is everything. This session covers context engineering: how to write, select, compress, and isolate information. You’ll learn to avoid context rot, when to use memory, and how to split problems so models don’t drown in tokens.
