Alessandro Romano
Alessandro is a highly experienced data scientist with a Bachelor’s degree in computer science and a Master’s in data science. He has collaborated with various companies and organizations and currently holds the role of senior data scientist at logistics giant Kuehne+Nagel. Alessandro is particularly passionate about statistics and digital experimentation and has a strong track record of applying these skills to solve complex problems. He shares his knowledge regularly, speaking at events like the Data Innovation Summit and ODSC.
Session
This hands-on tutorial will dive into the fundamentals of building multi-agent systems using the CrewAI Python library. Starting from the basics, we’ll cover key concepts, explore advanced features, and guide you step-by-step through building a complete application from scratch. We’ll discuss implementing guardrails, securing interactions, and preventing query injection vulnerabilities along the way.