At Google, our team leverages machine learning to tackle payment fraud. I'm a "full-stack ML eng" in that I build ML models and do data analysis, feature engineering, run live experiments, etc., but I also work with up/downstream integrators to improve our data capabilities and decision quality.Previously, at Enthought I worked as a scientific software developer, using Python and machine learning to solve interesting problems across scientific domains.I'm also interested in - exploring geometry and complexity in mathematical optimization- finding efficient algorithms for computations in algebraic geometry- developing and sharing mathematical software