Konstanty Kowalewski is a Chief Scientist based in London with nine years of experience at the intersection of mathematics, statistics and production AI systems. He builds and deploys real-time deep learning in safety-critical, closed environments—particularly human-centric perception in operating rooms—while advancing uncertainty quantification and equivariant/geometric models. His background spans hands-on data engineering and Spark performance tuning, statistical modelling of retail analytics, and training researchers and staff in Python and R at LSE. Comfortable with reproducible deployment tooling (Nix/NixOS) and academic rigor from an LSE mathematics and statistics degree, he combines research depth with pragmatic product experience. An engaged problem-solver, he often works where messy sensor data meets principled probabilistic modelling.
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