Fedor Glazov is an operations research scientist and data scientist with 8 years of experience applying discrete optimization, time series, and causal ML to e-commerce and supply-chain problems. With an MSc in Mathematics from TU Berlin and a software engineering background building distributed POS systems in Java, he bridges rigorous mathematical modelling and production-grade engineering. At flaschenpost he has built and deployed MILP inventory optimization, internal APIs, and data engineering pipelines on AWS/Kubernetes, and previously developed LSTM+Attention attribution and per-customer uplift models. He combines low-level performance tuning experience from research projects (GPU/CPU profiling and entropy coding) with practical product impact—reducing bugs and optimizing logistics for high-SKU operations. Outside work he maintains stats sites for the IL-2 Sturmovik community and pursues combat flight simulators, reflecting a penchant for data-rich hobbies that inform his analytical approach.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Mathematics, 2,2 (2.8 GPA), Bachelor of Science - BS, Mathematics, 2,2 (2.8 GPA) at University of Hamburg
Master of Science - MS, Mathematics, 1,2 (3.8 GPA), Master of Science - MS, Mathematics, 1,2 (3.8 GPA) at Technische Universität Berlin
Contributions:33 releases, 141 pushes, 3 branches in 2 years 10 months
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