Artemii Frolov is a machine learning practitioner specializing in deep learning and computer vision. He holds a Master’s degree in Informatics from the Technical University of Munich (TUM) and has been working in the field for more than three years.

His work centers on deep learning for visual perception: training and applying neural networks to problems where machines need to make sense of images. Grounded in the rigorous informatics training of one of Europe’s leading technical universities, he brings both solid theoretical foundations and hands-on engineering practice to his projects.