At AMPEL, I built Python and C++ libraries for running regression models on spectroscopy datasets.
The goal was to help scientists reason about measurements related to water safety. The models reached correction rates around 90% accuracy, which made the work feel immediately useful: a better software layer for better scientific decisions.