Abhimanyu "Chitra" Selvan is a Developer Advocacy Leader and engineer who has built systems across aviation, industrial automation, and medical IoT. He programmed digital cockpit systems for Boeing 787 simulators, controlled automated industrial robots, and engineered FDA-approved medical IoT devices. For the past five years, he has focused on cloud-native technologies, and he currently works with AI agents on event-driven architecture, helping developers build and scale applications on the cloud. More at diabhey.com
What happens when autonomous vehicles need to communicate with passengers, dispatchers, traffic systems, and each other in real time?
Building a RoboTaxi platform taught me that traditional AI architectures crumble under the complexity of large-scale multi-agent communication.
In this talk, I'll share hard-won lessons from architecting a distributed AI system where hundreds of autonomous agents coordinate thousands of rides daily. You'll discover why point-to-point agent communication creates a brittle mess, and how event-driven architecture (EDA) becomes the nervous system that keeps everything connected.
Through a live demo of the RoboTaxi platform, I'll show you:
- How AI agents can communicate asynchronously without tight coupling
- The architecture decisions that separate toy demos from production-ready AI systems
Whether you're building chatbot networks, autonomous systems, or multi-agent AI applications, this session will give you the architectural foundation to scale beyond the prototype phase.