Yuri Volkov is an AI engineer with 16 years of experience building computer vision and deep learning systems, currently a Member of Technical Staff in San Francisco. He architected Snapchat’s 3D synthetic data pipeline and helped launch viral AR+AI products, combining research-grade modeling with product-focused engineering and several patents. His background spans deep generative models, RNNs, unsupervised learning and time-series outlier detection across startups and acquisitions, giving him a strong track record of moving models from prototype to production. At Cursor and prior companies he continues to bridge research and engineering, favoring scalable pipelines and measurable business impact. An unexpected detail: his early work included chemoinformatics-flavored deep learning at Insilico, reflecting a comfort applying ML across diverse domains.
16 years of coding experience
7 years of employment as a software developer
IT academy Microsoft
Computer Science, Computer Science at ITMO University
Contributions:118 commits, 43 pushes in 8 years 10 months
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