Summary
Maria Knorps is a Senior Principal Data & Machine Learning Engineer with nine years of industry experience and a strong academic background in mathematics and fluid mechanics (PhD). She designs and delivers scalable data and ML architectures, from secure OpenFGA-based authorization models to productionized RAG and agentic GenAI systems. A programming mathematician by inclination, Maria blends deep numerical modelling experience (Fortran/C, HPC) with modern Python/Haskell tooling to industrialize complex ML pipelines. She leads and mentors cross-functional teams, champions open-source (maintainer of FawltyDeps) and shares practical learnings via conference talks and technical blogs. Her work spans research, teaching and product delivery—an uncommon mix that helps her translate theoretical models into maintainable production systems. Based in Toruń, Poland, she’s notable for bringing rigorous academic methods to pragmatic software engineering and accelerating delivery in regulated environments.
9 years of coding experience
14 years of employment as a software developer
Eng. Applied Physics and Energy Conversion, Eng. Applied Physics and Energy Conversion at Gdańsk University of Technology
Doctor of Philosophy - PhD Fluid Mechanics, Doctor of Philosophy - PhD Fluid Mechanics at Institute of Fluid-Flow Machinery, PAS
Polish, English