Denis Krylov is a seasoned professional with extensive experience in machine learning and data analysis. Currently serving as a Machine Learning Tech Lead at Avito since October 2015, Denis has developed various models for content inspection, including real-time fuzzy duplicate ads detection and spam detection. Previous roles include Senior Machine Learning Engineer and Machine Learning Engineer at Avito, where Denis also initiated the Kaggle competition for Duplicate Ads Detection in 2016 and designed a system to optimize human moderation workflow. Prior to Avito, Denis worked as a Research Engineer at NPTV, focusing on video processing and computer vision algorithms, and served as a Teaching Assistant at AESC MSU, supporting mathematics and programming courses. Educational credentials include a Specialist degree in Mathematics from Lomonosov Moscow State University and training at Yandex School of Data Analysis. Key technologies utilized include Python, SQL, and Docker.
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