Stanislav Kalinin is a computer vision engineer with nine years of practical experience and a six-year focus on deploying CV systems across industries such as banking, retail, and logistics. He has built production-grade OCR pipelines (including passport and handwritten-text verification), designed semantic and instance segmentation systems for fire and people detection, and worked across detection, classification and pose estimation tasks. Stanislav brings hands-on expertise in model optimization and serving at scale using Triton Inference Server, enabling low-latency, robust deployments. His experience spans startups and large organizations (Sberbank, Yandex, VantaAI), showing an ability to translate research-level models into operational solutions that produce measurable impact. Based in Moscow with a background in mathematical methods in economics, he combines strong analytical foundations with a pragmatic focus on real-world reliability.
9 years of coding experience
7 years of employment as a software developer
Specialist, Mathematical Methods in Economics, Specialist, Mathematical Methods in Economics at State University of Management (SUM)
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Stanislav Kalinin - Computer Vision Engineer at Sberbank