Summary
Alexey Reznik is a Senior Data Scientist based in Munich with 11 years of engineering experience and a background that spans Android apps, research, and machine learning productization. He transitioned from hands-on Android development—shipping features and prototypes like satellite messaging and voice-controlled workouts—to data science roles at Spotify, where he now designs experiments, builds ML-backed features, and creates GenAI productivity tools for internal workflows. His academic work (Carnegie Mellon, Innopolis) informs a rigorous approach to software quality, security, and reproducible research, including publications and security disclosures. Comfortable collaborating across product, engineering, and data teams, he combines production-grade engineering with strong statistical thinking to drive data-informed product decisions. An often-overlooked strength is his history of turning experimental prototypes into company-wide demos and tools that scale beyond proofs of concept.
11 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Master's degree, Information Technologies - Software Engineering, Master's degree, Information Technologies - Software Engineering at Carnegie Mellon University
English, Russian, German