Hi, I’m Hamza. I’m a founder by day and a professor by night, working at the intersection of Agents and Product Design.

I started Traversaal.ai with a simple goal: to build scalable AI products for startups and enterprises that integrate smoothly into existing systems while staying flexible and cost efficient.

We’ve had the opportunity to work with Fortune 100 companies, and the lessons from those experiences are woven directly into this course.

This course brings together everything I’ve learned in practice, along with the material I teach across universities.

I still spend a lot of time writing code, you can check out my GitHub.

I also share my thoughts and learnings on how organizations should think about moving demos to production grade scale on, The Production Gap: Substack.

Benjamin Squire is a machine learning and graph technology leader with over a decade of experience building AI systems that solve real business problems. As a Senior Developer Advocate at Neo4j, he helps engineers and enterprises unlock the power of knowledge graphs and graph databases to build intelligent, scalable AI applications.

Career highlights

• 10+ years applying machine learning across marketing analytics, graph analytics, forecasting, optimization, and enterprise AI
• Leading graph AI adoption at Neo4j, helping developers build production-ready applications with knowledge graphs and GraphRAG
• Built real-world AI systems spanning identity resolution, knowledge graphs, social media analytics, A/B testing, and recommendation engines
• Expert in graph-powered enterprise AI, enabling organizations to connect complex data and improve retrieval, reasoning, and decision-making
• Bridges research and practice, translating advanced graph technologies into practical solutions developers can deploy immediately
• Passionate educator and speaker, helping engineers understand when and how to use graph technologies to build more accurate, explainable, and scalable AI systems