Mariusz Krupiński is a data scientist and software developer with over 15 years of experience and eight years in hands-on data science roles, blending deep expertise in NLP and deep learning with end-to-end Python production engineering. He designs and delivers PoCs, fine-tunes LLMs for domain-specific chatbots, and improves search and information-extraction pipelines while shipping services with Docker, Kubernetes and CI/CD. His background spans consulting and product ownership roles at EUIPO, UBS and Credit Agricole, where he led the bank’s first Big Data initiatives and Real Time Event Management efforts. Comfortable moving from research to production, he pairs statistical rigor (SAS and classical scoring models) with modern transformer-based solutions. Colleagues describe him as a dependable, curious team player who translates complex requirements into pragmatic ML-driven products. An unusual strength is his track record of converting experimental NLP research into deployed services for regulated enterprise environments.
8 years of coding experience
5 years of employment as a software developer
Postgraduate studies, Statistical Analysis and Data Mining in Business, 5.5, Postgraduate studies, Statistical Analysis and Data Mining in Business, 5.5 at Szkoła Główna Handlowa w Warszawie
Master of Computer Science, Computer Science, 4.5, Master of Computer Science, Computer Science, 4.5 at Politechnika Wrocławska
:house_with_garden: Open source home automation that puts local control and privacy first.
Contributions:3 pushes in 27 days
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