Artem Krantsevich
Team Lead at Huawei
Moscow, Moscow City, Russia
Summary
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Senior🎓
Top SchoolArtem Krantsevich is a team lead and applied mathematician with 8 years of experience translating deep mathematical insight into production ML-driven networking and telecommunications solutions at Huawei. He blends a PhD in applied mathematics and postdoctoral bioinformatics work—where he developed state-of-the-art deep learning models and a novel Mutational Association metric—with hands-on engineering to optimize BGP security, IGP routing, and congestion control. Comfortable across multiple programming languages, Artem has a track record of converting theoretical models (from Gillespie algorithm adaptations to glycosylation simulators) into practical systems and guiding R&D teams to production-ready outcomes. He’s equally at home teaching complex graph theory and probability concepts to diverse audiences, which informs his ability to communicate technical trade-offs to cross-functional stakeholders. A characteristic strength is spotting and formalizing hidden structure in noisy systems—whether DNA mutation patterns or network traffic—to produce actionable models.
8 years of coding experience
11 years of employment as a software developer
Specialist (5 years degree, BS+MS equivalent), Applied Mathematics, Specialist (5 years degree, BS+MS equivalent), Applied Mathematics at Siberian Federal UniversityDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Stony Brook University
English, RussianGithub contributions (4)
lobzeg/machine_learning
Oct 2017 - Jun 2018
Contributions:12 commits, 10 pushes, 1 branch in 8 months
lobzeg/N-glycosylation_modeling
Nov 2017 - Mar 2018
Contributions:9 pushes, 1 branch in 4 months
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