Igor Markov is a Machine Learning Engineer at Revolut since May 2025 and also serves as a Lecturer at Central University, where course materials and seminars on AI and Deep Learning are developed. Previously, Igor worked as a Machine Learning Engineer at Yandex, focusing on building a noise suppression system for the company's video-call platform. As a Deep Learning Engineer at the Artificial Intelligence Research Institute, Igor conducted research on multi-modal deep neural networks and large language models. Additionally, as a Data Scientist at Beeline Russia, Igor created a churn prediction model that achieved a 40% increase in target metrics. Igor began the career as an NLP Intern at МТС, where research contributed to a Master's thesis and two publications. Igor holds a Master of Science in Data Science from Skolkovo Institute of Science and Technology and a Bachelor's degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology.
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