Artem Trunov is a Machine Learning Engineer with nine years of experience applying data processing expertise gained in High-Energy Physics at Stanford and CERN to industry-scale data, ML and systems work. He combines strong foundations in Big Data, large-scale computing and Linux administration with practical knowledge of DevOps, ITIL and Agile practices to deliver reliable data pipelines and models. Comfortable across data engineering and data science roles, Artem is motivated to bridge research-grade analysis and production deployments. His background in physics gives him a disciplined, experimental approach to problem solving and an eye for robust, reproducible workflows. Based in Moscow, he brings a rare blend of scientific rigor and operational experience useful for scaling complex ML systems.
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