Summary
Artem Ryblov is a Senior Machine Learning Engineer with 11 years of experience building production ML systems that drive measurable revenue and product improvements. He has delivered high-impact solutions across recommender CTR prediction, anti-fraud, credit scoring, dynamic pricing, and NLP—often turning prototypes into production services that unlocked multi-hundred-thousand to million-euro annual gains. At AvitoTech he both architected CTR models and re-engineered the Golang inference path to remove bottlenecks and accelerate A/B testing, and earlier work at HARMAN produced a latency- and accuracy-optimized intent classifier shipped to customers. Comfortable across Python, PySpark, LightGBM/CatBoost, and model deployment stacks, Artem also brings cross-disciplinary rigor from a master’s in economics and a bachelor’s in computer science. He favors pragmatic, reproducible pipelines (refactoring notebooks into frameworks, introducing formal A/B testing) and has practical experience evaluating federated learning approaches—an indicator of focus on privacy-aware, scalable ML.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree, Economics, Master’s Degree, Economics at Higher School of Economics
Bachelor’s Degree, Computer Science, Applied Mathematics, Bioinformatics, Software Engineering, Bachelor’s Degree, Computer Science, Applied Mathematics, Bioinformatics, Software Engineering at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
English, Russian