Konstantin Sofiiuk is a Senior Deep Learning Researcher and former Computer Vision Team Lead with 11 years of experience building research-driven, production-grade ML systems from model inventing to deployment. He has led teams and shipped flagship computer vision features at scale—most notably architecting an end-to-end automated car exterior inspection pipeline processing 250+ vehicles per day and shipping an interactive segmentation model to millions of devices via Samsung’s photo editor. Equally comfortable in research and engineering, he has authored published segmentation and instance algorithms (CVPR/ICCV) and translated them into reliable products, while also building full-stack tooling such as annotation platforms and an 80+TB visualization portal. Based in Berlin with an MS in Computer Science from MSU, he combines deep academic rigor with practical ops experience, including running in-house annotation teams and production infrastructure. A less obvious strength is his knack for turning cutting-edge research into lightweight, maintainable systems that drive measurable business outcomes.
11 years of coding experience
11 years of employment as a software developer
High School Diploma, High School Diploma at AESC MSU — Kolmogorov Boarding School
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