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Vladimir Finkelshtein is a seasoned mathematician and engineer with extensive experience in optimization and machine learning, currently serving as the Team Lead Optimization and Machine Learning Engineer at Smart Steel Technologies since July 2021. Previously, Vladimir held the position of Postdoctoral Researcher at the University of Göttingen from September 2017 to July 2021, focusing on homogeneous dynamics and group theory, with a strong record of published research and international collaboration. Additional experiences include a brief tenure as a S2DS Data Science Fellow at Crane Co., where hands-on data science skills were developed, and positions as a Research and Teaching Assistant at the University of Illinois Chicago and Technion - Israel Institute of Technology. Vladimir's academic foundation includes a PhD in Mathematics from the University of Illinois Chicago, a Master's degree from Technion, and a Bachelor's degree also from Technion.