My background combines formal training in economics, data science, and social engineering with research roles that require mathematical models to survive contact with real operations.
Research and development in AI, operations research, mathematical optimization, and data analysis for operational problems in manufacturing, energy, infrastructure, and digital systems.
Worked on machine learning and optimization for e-commerce while teaching online courses in reinforcement learning, mathematical optimization, and mathematics for AI.
Doctoral research on agent behavior and optimal design in double-ended queueing systems.
Graduate training connecting economics with quantitative and data-science methods.
I keep this list selective. The web CV contains the fuller chronology.
I have taught online courses in Foundations of Reinforcement Learning, Mathematical Optimization, and Mathematics for AI. My teaching approach combines intuitive examples, visualization, hand calculations, and Python implementation so learners can move from a real decision problem to a mathematical representation and then back to interpretation.