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Arvid Wartenberg is a Deep Learning Engineer at Tensoreye, specializing in the design of multi-task networks for monocular depth estimation and semantic segmentation using Python, TensorFlow, and C++. Arvid also serves as a Co-Founder of weon.ai, focusing on AI-powered virtual try-on technology. Previous experience includes a brief tenure as a PhD student at Helmholtz Zentrum München, where Arvid worked on the application of NLP models in chemical synthesis prediction. Arvid conducted research on deep learning methodologies during a master thesis at Zenseact, particularly in monocular camera depth estimation for 3D object detection. An internship at Viking Analytics AB involved predictive maintenance through the analysis of high-dimensional time-series data. Arvid holds a Master of Science in Complex Adaptive Systems from Chalmers University of Technology and additional degrees in Physics and Engineering Physics from respective institutions.