Rajashekar Vennavelli
Rajashekar is an AI Software Engineer at Fetch.ai, where he builds agentic workflows and intelligent applications. Prior to this, he worked at AtlasNova AI, developing RAG pipelines, multi-modal content processing, and scalable cloud-based systems. He has also held roles across full-stack development, teaching, and product management. Rajashekar is currently completing his Master’s in Computer Science at Santa Clara University, with a focus on machine learning, distributed systems, and deep learning.
Speaker Sessions
Unlocking the Power of Agentverse by Fetch.ai - Build, Connect and Discover your AI Agents
Learn to create specialized AI agents on the Fetch.ai Agentverse platform that extend what's possible with language models alone. This workshop demonstrates how ASI-1 LLM's EAEM (Executable Agentic Expert Model) architecture discovers and orchestrates agents through Agentverse's decentralized registry, creating a powerful "mixture of agents" that collaborate to solve complex tasks. In this hands-on session, you'll understand agent communication protocols and follow along to implement your own agent using the Chat Protocol framework. By the end, you'll have built a working agent that can be discovered and utilized within this decentralized ecosystem, giving you practical knowledge to develop solutions that enhance collective intelligence through specialized agent interactions.