Summary
Ivan Luchko is a machine learning engineer and data science leader with 9 years in tech, including 6 years building and managing teams to deliver production-grade ML solutions. Based in Amsterdam, he founded Boosta’s data science unit and led a team that shipped recommendation engines, pricing strategies, retention models and QA pipelines that together drove double-digit profit and LTV improvements while slashing churn and cancellations. He blends hands-on modeling (Bayesian ranking, Thompson-like sampling, time series forecasting) with infrastructure and MLOps work—ETL/BigQuery, CI/CD and monitoring—so projects move from research to reliable production. Ivan’s background in applied physics and a research stint using Quantum Monte Carlo simulations hints at a rigorous, quantitative approach to problem solving that he applies to product metrics and unit economics as readily as to ML algorithms.
9 years of coding experience
7 years of employment as a software developer
Master's degree Master Materials and Management, Master's degree Master Materials and Management at Université de Rennes I
Master's degree Applied and Engineering Physics, Master's degree Applied and Engineering Physics at Technical University of Munich
MSc Diploma with Honours High Technologies, MSc Diploma with Honours High Technologies at Taras Shevchenko National University of Kyiv
Ukrainian, English, Russian, German, French, Dutch