Andrei Fajardo

Val Andrei Fajardo is a freelance AI engineer and scientist specializing in LLM agents and AI infrastructure. He is a former founding engineer at LlamaIndex, where he contributed to and maintained their popular open-source Python framework that receives millions of downloads per month. After LlamaIndex, he worked as a researcher at the Vector Institute for AI, where he developed FedRAG, an open-source library for federated fine-tuning of RAG systems, which was accepted into the CODEML workshop at ICML 2025. Andrei holds a PhD in Statistics and Applied Probability from the University of Waterloo.

books by Andrei Fajardo

Build a Multi-Agent System (from Scratch)
  • MEAP began October 2025
  • Last updated May 2026
  • Publication in Fall 2026 (estimated)
  • ISBN 9781633434660
  • 325 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / AI / AI Agents
resources: Source code Book forum Source code on GitHub

Build a Multi-Agent System (From Scratch) shows you how to build a complete, working system of agents. Each chapter builds a new stage of your system. Begin by developing your first scratch-built agent, continue to integrate MCP compatibility, incorporate key patterns and designs like human-in-the-loop and memory, and finally implement full Agent2Agent capability that distributes a task among multiple agents. Every milestone comes with a careful walkthrough of the design decisions and code. By the end of the book, you will have a practical, extensible multi-agent system—and the skills to adapt it for research, business automation, or your own experiments.