Summary
Viacheslav Komisarenko is a data scientist and machine learning researcher based in Tallinn, Estonia, blending academic rigor with industry impact. He is pursuing a PhD and serves as a Junior Research Fellow at the University of Tartu, with an Outstanding Paper Award at ECAI-2024 in uncertainty quantification and model calibration. With over a decade of experience across logistics, remote sensing, NLP and finance, he has translated complex ML concepts into real-world solutions, most recently as a Data Scientist at Transporeon. Previously, he independently built a Transformer-based NLP pipeline for crawling product pages, using NER, keyword extraction and summarisation to extract product specs, domains, and patent mentions. His academic track includes a Master of Science in Computer Science from the University of Tartu and ongoing doctoral exchange in Machine Learning at Ghent University, complemented by a Bachelor’s in System Analysis from Kyiv Polytechnic Institute. He brings a rare combination of theoretical insight and hands-on engineering, with a focus on uncertainty-aware AI and robust calibration in production systems.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tartu Institute of Computer Science
Doctoral exchange studies, Machine learning, Doctoral exchange studies, Machine learning at Ghent University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Tartu
Igor Sikorsky Kyiv Polytechnic Institute
Russian, Ukrainian, English