WORKSHOP
Building scalable and secure multi agent AI systems
Date: 13th March 2026 | Time: 3:30 PM to 5:30 PM
Venue: Workshop Room 1, NIMHANS Convention Centre, Bangalore
FEES:
• Rs.299 for Leaders Pass holders
• Rs.2,009 for Professionals Pass holders
• Rs.2,249 for Knowledge Pass holders
• Rs.2,699 for Community Pass holders
• Rs.2,999 for Expo Pass holders
(Limited seats available)

Aman Zishan M A
Software Development Engineer, Vizibl
- Creating scalable and secure multi-agentic system embedded within application to support developer in building agentic system that actually provides value and not just hype
- Junior to mid level engineers building an AI powered application
- Introduction to agents
- Comparing different agent frameworks in the developer market
- Structured Queries
- Agent primitives (primitives or guidelines to follow on how to integrate agentic systems without causing irreversible damage to business or product reputation)
- Agentic workflow demo with human in the loop system
- Optional: can bring laptop to follow along for more hands-on experience
- Basic knowledge in javascript/typescript
- Basic understanding on LLMs i.e; context window, tokens, structured output
- An open mind and a willingness to learn and apply new concepts.
- Note: For hands-on workshop, attendees should bring their own laptop with tools installed
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
- Key takeaway is clarity on how and where agents can be used
- MVP to prod agentic systems
- Technical knowledge on build an agent
About Speakers
Aman Zishan M A is a Full Stack Developer specializing in Web3 technologies and AI-powered product development. With four years of experience building decentralized applications across DeFi, DAOs, cross-chain tools, and multi-chain platforms, he works with Solidity, Ethereum, IPFS, React, and Node.js. His current focus includes architecting scalable systems, integrating AI capabilities using modern LLM frameworks, and delivering reliable, user-centric solutions across Web3 and enterprise environments.