Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures.The proposed methods aim to improve the reconstruction quality while further automating the process.The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.