Speaking Engagement | Microsoft Reactor & Semantic Kernel

A portfolio entry detailing my speaking engagement at a Microsoft Reactor Learn Live event on multi-agent orchestration with Semantic Kernel, co-presented to over 5.4K viewers.

Speaking Engagement: Multi-Agent Orchestration with Semantic Kernel

Date: May 13, 2025 | Platform: Microsoft Reactor Learn Live


Executive Summary

As a featured speaker for Microsoft Reactor, I co-presented a live session on multi-agent orchestration with Korey Stegared-Pace, a Microsoft Cloud Advocate. Our goal was to bridge the critical gap between theoretical AI concepts and practical, production-ready implementation using the Semantic Kernel SDK. The session successfully delivered in-depth technical education to a live audience of over 5,400 developers, providing them with the patterns and code needed to build sophisticated multi-agent AI systems.


:material-microphone-variant: My Role as Co-Presenter

In this collaboration, my primary role was to lead the live technical demonstrations. I was responsible for:

  • Live Coding: Building a multi-agent solution from scratch in real-time to illustrate core concepts.
  • Sharing Production Insights: Explaining best practices for state management, error handling, and deployment based on real-world experience.
  • Answering Technical Q&A: Addressing complex questions from the developer community to deepen their understanding of the Semantic Kernel SDK.

:material-code-braces: Core Technical Concepts Presented

The session provided a comprehensive technical deep dive into building and managing multi-agent systems.

  • :material-sitemap: Multi-Agent Orchestration


    We covered core orchestration patterns, including agent selection logic, termination strategies, and protocols for inter-agent communication.

  • :material-memory: State & Memory Management


    I demonstrated techniques for managing and persisting state across distributed agent interactions, a critical component for building robust systems.

  • :material-hammer-wrench: The Semantic Kernel SDK


    The presentation showcased the advanced capabilities of the Semantic Kernel SDK, highlighting its features for creating modular and powerful AI agents.

  • :material-rocket-launch: Production Readiness


    We discussed essential patterns for deploying to production, including error handling, system monitoring, and strategies for scaling distributed agent deployments.


:material-chart-line: Measured Impact

The session’s success was demonstrated by its massive live reach and its lasting value as an educational resource for the developer community.

  • :material-broadcast: Live Event Success


    • Massive Audience: Reached 5,400+ live viewers during the broadcast.
    • High Engagement: Fostered a highly interactive session with significant real-time Q&A and community chat participation.
    • Immediate Knowledge Transfer: Successfully conveyed complex topics, as evidenced by the depth of attendee questions and follow-up discussions.
  • :material-trending-up: Long-Term Community Value


    • Enduring Educational Asset: The recording continues to serve the community on YouTube, amplifying its educational impact far beyond the live event.
    • Community Adoption: Developers have successfully used the patterns and code from the session to build their own multi-agent systems.
    • Increased Platform Adoption: The session contributed to increased community interest and adoption of the Semantic Kernel SDK.

:material-open-in-new: References & Media