Summary
Kostyantyn Kravchenko is a Machine Learning Scientist with 8 years of experience building production-grade ML systems across consumer tech, mobility, and energy. He specializes in recommender systems, search relevance, forecasting, and applied deep learning, currently improving buyer-side search and content discovery at Whatnot. His background spans anomaly detection for distributed acoustic sensing in energy infrastructure, routing and driver-experience modeling at Lyft, and end-to-end ML solutions across NLP, CV, and forecasting at SoftServe. He pairs hands-on model engineering and experimentation with a track record of establishing monitoring frameworks and running successful A/B tests. An award-winning Kaggle competitions expert, Kostyantyn combines product-minded impact with rigorous statistical modeling and a history in commercial planning and analytics that helps bridge business and technical priorities.
8 years of coding experience
16 years of employment as a software developer
Zhitomir Humanitarian Gymnasia №23
J.F. Dobie High School, Houston, TX, USA
Diploma of Education, Diploma of Education at MADE Big Data Academy
Master's degree, Master's degree at Kyiv National University of Economics and Trade (КНТЕУ)
Danone New Generation Leaders Program, Danone New Generation Leaders Program at Vlerick Business School
Russian, Ukrainian, English