Systems architect and data engineer with over 20 years of experience in building end-to-end data platforms. At Future Processing, he focuses on designing robust, scalable data and ML/AI ecosystems – helping organizations move from fragile Proofs of Concept to reliable, production-grade systems.
Independently, he is developing the concept of the Decision Intelligence Runtime (DIR) – a missing architectural layer that bridges probabilistic LLMs with the deterministic nature of business processes. He is the creator of the Responsibility-Oriented Agents and Event-Oriented Agent Mesh patterns.
To validate these ideas, he runs AIvestor, a research project operating on high-frequency financial data – using markets not as an investment product, but as a uniquely adversarial environment to stress-test real-time autonomy, state management and decision integrity.