Background
Data work with a practical purpose
I work at the intersection of data engineering, governed AI and statistically validated decision systems. At MetaPOS, I build retail data workflows and MetaPOS Mind, a permission-aware context system for people and AI assistants.
My independent work includes OmniMind, a local AI-work control plane, and FXPM, a regime-aware trading research and execution system. I separate implemented controls from measured results, and keep human approval explicit where decisions carry risk.
I am studying Engineering Management at the University of Debrecen. My background combines data science training with practical data engineering and technical learning support across distributed teams.