Dmitriy Belyi is a Principal Research Scientist at Amazon, specializing in designing models and algorithms for large-scale multi-commodity decision optimization problems under uncertainty. Dmitriy has an extensive background in stochastic optimization, data analysis, machine learning, and mathematical programming, with experience at Amazon dating back to 2010. They completed a PhD in Operations Research, where they focused on maintenance optimization and developed algorithms for optimal maintenance schedules. Dmitriy also has experience as a teaching assistant and has worked on various projects, resulting in significant operational cost savings and multiple patent applications.
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