Maciej Kępa is a Data & AI Architect at Datumo, specializing in MLOps and data platforms for production AI systems. He works primarily with Azure and Databricks, focusing on repeatable delivery, observability, governance and operational ownership.
His experience spans data engineering, cloud architecture and industrial IoT, from collecting data at the edge to deploying and maintaining ML systems in production. He is particularly interested in how data quality, deployment decisions and platform design affect the reliability of AI applications.
Maciej shares practical architecture patterns and lessons from project work through conference talks, workshops and technical writing. He writes about MLOps, production AI and AI-ready data platforms at https://maciejkepa.dev.
He is based in Kraków, Poland, and delivers sessions in Polish and English. He is a member of Data Community Poland and part of the SQLDay organizing team. Outside work, he enjoys gaming, DIY projects and spending time with animals.
