Summary
Nikita Radeev is a data scientist with eight years of experience building practical ML and analytics solutions from Novosibirsk Akademgorodok. He combines academic rigor—current PhD work at Novosibirsk State University—with hands-on fintech and industry delivery, having shipped passport-data and vehicle-validation services that measurably increased conversion and profits. His background spans distributed ML on PySpark, genetic dimension-reduction methods, and no-code/low-code computer vision platforms that produce reproducible artifacts (notebooks, MLflow dashboards). At CFT he led integration-heavy microservices and turned ad hoc analyses into automated daily business reports; at Huawei he developed scalable ML tooling and authored a genetic algorithm preprint. Comfortable coordinating cross-team integrations and deploying models into production, he balances research depth with product-focused engineering. Outside work he lives among pines and squirrels, reflecting a preference for thoughtful, focused problem solving away from the city.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Novosibirsk State University (NSU)
Russian, English, Chinese