Summary
Andrey Vorotnikov is a Computer Vision Engineer with eight years of experience applying deep learning to biometrics, satellite imagery, transport systems, and image-based recommendation/search. He has driven end-to-end ML projects from research and data preprocessing to model optimization and deployment on servers and edge devices across organizations including ВБ ТЕХ, Sber Business Soft, and Гознак. Andrey combines strong applied-math training from Lomonosov Moscow State University with practical expertise in scaling DL pipelines and optimizing models for constrained environments. He has a track record of turning research hypotheses into production-ready MVPs and bringing computer vision into recommendation and document/transport analytics. Notably, his work spans both classic engineering domains (gas, oil, engines) and cutting-edge visual search applications, reflecting a versatile, research-driven approach to real-world problems.
7 years of coding experience
9 years of employment as a software developer
Специалист, Прикладная математика и информатика, Специалист, Прикладная математика и информатика at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Русский, Английский