Alexey Kozhevin is a Lead AI with a PhD in Probability Theory and over a decade of experience applying mathematical rigor to computer vision and domain-specific ML for oil & gas and medical imaging. He has led production-focused research teams and built open-source libraries for seismic interpretation, well-data analysis, and CT scan nodule detection, translating academic methods into practical pipelines and tools. At Gazprom Neft and the Data Analysis Center he delivered models for oil production forecasting and automated seismic fault detection, and he improved experiment orchestration for large-scale parallel research. Based in Dubai, he combines deep theoretical training with hands-on engineering, and maintains an active GitHub portfolio of applied libraries that bridge research and industry needs.
Contributions:5 pushes, 2 branches in 7 years 3 months
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