Stefan Rusu is an AI practitioner working at the intersection of agentic AI and central banking. He holds a PhD in Finance and AI (Summa Cum Laude), with research focused on machine learning models for stock market decision-making, and designs and deploys agentic AI workflows and LLM-powered chatbots used by the European Central Bank and central banks across the EU. Stefan has been involved in several of the ECB's AI projects, spanning legal and central banking applications, and launched the ECB's trainings on Prompt Engineering and AI-Assisted Coding, reaching 600+ participants at EU level, including the ECB.

He is passionate about implementing AI where it adds real business value, and about helping others use AI efficiently and responsibly at work, with a clear understanding of both its advantages and its risks.

At Agentiq World, Stefan brings hands-on experience embedding technical teams with business areas to turn loosely defined needs into production AI workflows, and shares the forward-deployed engineering approach behind it, developed in one of Europe's most demanding regulatory environments.