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Veselin Doychinov has experience as a Machine Learning Engineer at Samp, and previously worked as an Assistant Ingénieur R&D at Neovision. Prior to that, Veselin held various intern positions in Applied Mathematics at Jean Kuntzmann Laboratory and the Institute of Information and Communication Technologies (IICT) - Bulgarian Academy of Sciences. Tasks included research on pose estimation for 3D objects, metal nanoparticle structures optimization, gravitational lensing effect of black holes, and simulation of elastic deformations on magnetized ferromagnetic nano-wires.