Roman Suvorov

Roman Suvorov began their career as a Software Engineer at Tensor in 2010. Roman then worked at RosInternet Technologies as a Software Engineer, where they supported a Dynamic Content Filtering System and developed algorithms for real-time web page classification. Roman later joined Luchsinger Mathematics AG as a Machine Learning Engineer, where they developed a system for classifying job ads in multiple European languages.

In 2012, Roman became a Researcher at the Federal Research Center "Computer Science and Control" of Russian Academy of Sciences. Roman'sresponsibilities included R&D in machine learning and text mining, full-stack development, and Linux server administration. Roman also participated in business meetings as a technical representative.

From 2018 to 2022, Roman worked at SAMSUNG as a Leading Data Scientist, focusing on R&D in deep learning, computer vision, generative modeling, and image processing. Roman also completed an online course on Deep Learning for Natural Language Processing.

Currently, Roman is a Deep Learning Research Engineer at Recraft, where they continue to work on advanced research in deep learning.

Roman Suvorov began their education in 2007 at Rybinsk State Aviation Technological Academy named after P.A. Solovyov. Roman completed their studies in 2012 and earned a specialist degree in Computer Science, focusing on Software Engineering, Algorithms, and Data Structures. Afterward, they pursued further education at the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences from 2012 to 2016. During this period, they obtained their PhD in the fields of Machine Learning and Natural Language Processing.