Skopje, Skopje Statistical Region, North Macedonia
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Summary
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Senior
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Top School
Elena Kusevska is a Python developer with eight years of hands-on experience applying computational and data-driven solutions across scientific and product engineering contexts. Trained in computational modeling and theoretical chemistry, she blends strong math and physics foundations with practical expertise in data engineering, quality, and backend development. Her career spans roles from building GC analysis tools and multi-scale research models to developing IoT data pipelines and time-tracking backend systems, demonstrating comfort moving between research code and production services. Based in Skopje, she has recent experience in AI QA and data engineering while now focusing on Python development at Sentice. Notably, she has a history of turning domain-specific scientific problems into usable software—such as automated baseline correction and peak fitting for chromatographic data—which reflects a specialty in translating complex numerical methods into reliable applications.
8 years of coding experience
3 years of employment as a software developer
MSc, Theoretical Chemistry and Computational Modeling, MSc, Theoretical Chemistry and Computational Modeling at Universidad Autónoma de Madrid
BSc, Applied Chemistry, BSc, Applied Chemistry at Univerzitet 'Sv. Kiril i Metódij' vo Skopje
MSc, Computational Modeling and Simulation, MSc, Computational Modeling and Simulation at University of Pittsburgh
Contributions:36 pushes, 1 branch in 3 years 11 months
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