About The Session :
AI systems today go beyond single prompts or standalone models. Real-world applications increasingly rely on multiple specialized agents that collaborate, delegate tasks, and execute workflows in a structured and reliable manner.
This session focuses on designing and orchestrating multi-agent AI systems using Google’s Agent Development Kit (ADK). The emphasis is on building modular, production-grade architectures that reflect real-world team dynamics and support scalable, maintainable workflows.
What You’ll Learn
Participants will gain practical insights into:
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Structuring specialized agents using a hierarchical tree architecture
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Implementing Sequential, Loop, and Parallel orchestration patterns
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Managing shared session state and templating for seamless data exchange
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Controlling delegation with precision descriptions to ensure correct task ownership
About the Speaker
Vaibhav Malpani is a Technical Lead with over 9 years of experience working across cloud technologies and large-scale distributed systems. He is a Google Developer Expert (GDE) in Google Cloud Platform (GCP) and has hands-on experience designing and operating robust, production-grade systems.
He actively contributes to the developer ecosystem through technical blogs on Medium and by speaking at developer communities and technical events, sharing real-world engineering insights.
🔗 LinkedIn: https://www.linkedin.com/in/ivaibhavmalpani
Who Should Attend
This session is ideal for students and developers with basic exposure to AI or large language models who want to understand how modern AI systems are architected, orchestrated, and scaled in practice.
Track 1
Hands-on Workshop
