👤 Bio

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My research program is centered on the mathematical foundations of intelligent systems that learn and adapt in complex, uncertain environments—from competitive supply chains to swarms of robots.

I am the Chief Research Engineer at Riebaki AI. A company focused on advancing the frontiers of artificial intelligence, in both theory and business applications. Specifically, I work on developing novel algorithms for decision-making in dynamic and uncertain environments, RAG-LLM systems, multi-agent systems, and efficient optimisation.

My methodological approach combines rigorous theoretical analysis with high-performance computing. I develop and analyze algorithms for:

• 🤖 Learning in the Wild: Online learning and bandit algorithms that enable decision-making under incomplete information.
• 🧠 Strategic Planning: Monte Carlo tree search and simulation-based methods for long-horizon sequential decisions.
• ♟️ Game-Theoretic Intelligence: Equilibrium computation and mechanism design for multi-agent interactions.

⭐ Current Research Focus:
Developing theoretically-grounded algorithms for stochastic multi-agent environments and bridging online learning with game theory for applications in swarm robotics and competitive supply chains.

My work directly informs the design of robust operations management systems (e.g., dynamic pricing, resilient supply chains) and intelligent control systems (e.g., autonomous robotics).

Prior to my doctoral studies, I designed and deployed production-grade machine learning pipelines at scale for eCommerce, legal tech, and ad-tech organizations.

Academic Background

• Technical University of Munich (2026)
  • PhD in Computer Science
  • Advisor: Prof. Jalal Etesami
  • Dissertation: Online Learning and Planning for Stochastic Multi-Agent Games
• University of Toronto (2017)
  • MASc in Operations Research
  • Advisor: Prof. Viliam Makis
  • Thesis: Comparative Study between Statistical Fraud Detection Methods on eCommerce Networks
• University of Toronto (2015)
• BASc in Mechanical Engineering, with Honours
• Minor in Robotics & Mechatronics