Evgenii Kashin is an applied scientist with nine years of industry experience building and researching generative and computer vision models, currently working at Wayve while pursuing a PhD in Computer Science at the University of York. He has driven few-shot 3D reconstruction and lens-generation research at Snap and developed generative content models at Yandex, coupling research rigour with production-minded engineering. Earlier roles span end-to-end computer vision systems and full-stack product work, including co-founding a startup where he handled both frontend and backend development. Known colloquially for "making GPU go brrr," he brings practical performance optimization skills alongside deep learning research expertise. Based in the UK, he blends academic depth with hands-on deployment experience across startups and large tech firms.
9 years of coding experience
7 years of employment as a software developer
Doctor's Degree Computer Science, Doctor's Degree Computer Science at University of York
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Voronezh State University
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