Data Science business orientated and data-driven. Cloud orientated in development and implementation of ML/AI models LLM pipelines. Strong believer in Python open source eco-system development and generative AI models. Supported OPEN-SOURCE development and collaboration. Received a BSc degree in Economics and a MBA from the University of Wales Cardiff Business School in 1997 and 1999 respectively. Since 2000 he has gained extensive experience working in European financial hubs notably the City of London, Frankfurt and Warsaw. His specialisation is in risk management and AI Hybrid Stochastic Quantitative Portfolio Modelling. Following further research into portfolio management and market/credit risk models. At the beginning of 2008 he attained Financial Risk Manager Certified qualification. He has worked along side Professor M.A.Brdys to produce and further validate the application of AI & ML algorithms governed by Control Laws of Control Engineering notably the application of feasible co-operation using SSRFMPC based on collusion GAME THEORY - multi agent reinforcement learning models and non-linearity in stochastic modelling using Neural Networks.
Researcher in AI game theory collective decision intelligence.
Title: Cloud computing Python open source advocate. Expert in Multi Agent Control systems.