Summary
Dmytro Kolesnykov is a data scientist with 14 years of experience based in Kyiv, specializing in turning raw data into actionable, production-ready solutions. He has combined academic research in NLP and NMT at the University of Tartu with hands-on industry work across Emerline, LeverX Group and applied projects like satellite-based farming event detection and ECG signal segmentation. Comfortable bridging research and engineering, he has built APIs for multilingual translation engines, integrated HMM noise reduction into neural pipelines, and shipped models in commercial IoT contexts. His background includes advanced studies in computer science and artificial intelligence from the University of Tartu and UPC, which informs a pragmatic approach to continuous learning and model robustness. Known for extracting clear insights from complex datasets, he focuses on delivering direct business value rather than novelty for its own sake.
14 years of coding experience
2 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Tartu
Igor Sikorsky Kyiv Polytechnic Institute