


Building Multi-Agent Systems: Practical Workshop for AI Builders
Turn your AI into a full-stack teammate.
Imagine an AI system that reads a customer complaint, drafts a response, calculates the refund, loops in a manager if needed, and triggers a Stripe payout; all without you writing custom logic for each step.
That’s the power of multi-agent systems: autonomous, modular workflows where agents collaborate, delegate, and adapt.
This isn’t a panel. It’s not a keynote. It’s a hands-on session for developers building AI-native products, especially those ready to go beyond single-shot prompting and explore the architecture behind real coordination.
🧠 What You’ll Learn
Architectures, tools, and workflows to build multi-agent systems that actually ship.
🔁 Multi-Agent Workflows
Collaborative Multi-Agent Systems
Hierarchical Agent Teams
Evaluator-Optimizer Loops
Planner-Executor Architectures
Parallel Task Execution
Subgraph-Based Multi-Agent Systems
⚙️ Routing & Control
Logic Flows
Routing Mechanisms
Streaming Outputs
Memory-Enhanced Interactions
🎯 Who It’s For
Engineers building agents, copilots, or AI workflows
Developers exploring chaining, orchestration, or automation
Anyone curious about turning LLMs into systems that think and act
👨🏾💻 Workshop led by
Anil Dukkipatty - CTO & Co-founder @ Revise.network
Anil has 10+ years of experience building secure systems across blockchain and AI. He contributed to TMSP (now Cosmos SDK) and led protocol architecture at Elemential for clients like NSE and ICICI, using Raft, P2P gossip, and Solidity.
Most recently, he has fine-tuned domain-adapted LLMs for crypto trading by integrating technical analysis into transformer architectures. Used Qwen and LLaMA 3.1 as base models, applying DoRA for efficiency. Deployed inference using vLLM and orchestrated it with Ray for parallelization.
Tight group. Practical focus. Limited seats.
This will be a high-signal room for builders who want to ship smarter agent infra, not just talk about it.
👉 Reserve your spot before we cap the list.
📍 Venue
Ramen Space, Dalston, Unit 6, Sledge Tower, Dalston Square, London, E8 3GT. (It's next to Dalston Junction overground station, opposite a restaurant called Mildred's).
View on Google Maps ↗
Visit Ramenclub.so ↗
A modern, builder-friendly space in the heart of East London, easy to reach, with great vibes for hands-on sessions.
🤜🤛 Partners
AIPressRoom - AI Press Room is a news platform dedicated to covering the latest in artificial intelligence. Founded in 2023, it offers reliable, concise, and unbiased updates across AI innovation, startups, events, and expert opinions, helping professionals stay ahead in a fast-moving field.