Fedor Kitashov is a machine learning engineer at Snap Inc.'s Generative AI team, shaping strategic product and technical direction and translating research into scalable, user-facing experiences. He led the development of lens experiences such as 'My Twin Sister' and 'My Twin Brother', which amassed 1.7B impressions in the first 3 days, underscoring his ability to ship high-impact generative AI features. With 9 years in industry, he previously led real-time motion prediction and computer vision initiatives at OZON.ru and drove production-ready face recognition and image colorization work at Mail.Ru Group. His career spans research-infrastructure work at CERN OpenLab, deep learning internships at Cisco and Kaspersky Lab, and science communication at MIPT, reflecting a rare blend of hands-on engineering, research, and storytelling. Based in the UK (Stony Stratford, England) and Moscow-educated, he holds a Master's in Deep Learning Research and a Bachelor's in Applied Mathematics and Physics from MIPT, equipping him to bridge theory and production at scale.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Deep Learning Research, Master's degree, Deep Learning Research at Школа анализа данных
Bachelor's degree, Applied Mathematics and Physics, Bachelor's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Master's degree, Deep Learning Research, Master's degree, Deep Learning Research at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
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