2026-06 Multi-Agent AI Systems with LangGraph

Special thanks to our June title sponsor, ATB Financial!

Presentation: Orchestrating Multi-Agent AI Systems with LangGraph
This talk introduces three common multi-agent architectures in LangGraph—Any-to-Any Networks, Supervisor Multi-Agents, and Supervisor Tool-Calling Multi-Agents—and when to use each approach. A live Python-based LangGraph demo will then show how to build and orchestrate multi-agent workflows in practice. All code will be made available on a public GitHub repository so participants can replicate and extend the results on their own.

Presenter: Mehdi Rezvandehy, PhD is a Principal Data Scientist at ATB Financial with over 10 years of experience building and deploying machine learning solutions in banking and enterprise environments. He previously worked as a Senior Data Scientist at Symend and as a Principal Researcher at the University of Calgary. He focuses on engineering LLM-based systems and data-driven AI applications that deliver measurable business impact. He holds a PhD in Geostatistics from the University of Alberta and has a strong track record of translating advanced AI and statistical research into practical solutions across the finance and energy sectors.

Where: Platform Calgary East Annex, 407 9 Ave SE, Calgary, AB T2G 2K7
When: Wednesday, June 24, at 5:30 PM
Schedule:
5:30 - Pizza and Networking
6:00 - Presentation and Discussion
7:30 - Wrap up