Konstantin Slavnov

Konstantin Slavnov has a diverse background in machine learning and research. Konstantin is currently working as a Lead Machine Learning Engineer at ZERO10, where they focus on ML research and development in augmented reality and cloth modeling, as well as real-time networks for mobile devices.

Prior to ZERO10, Konstantin worked as a Machine Learning Researcher. During this time, they were involved in ML research and development for various companies, including developing an anti-fraud model for a classified advertisements website.

Before that, Konstantin gained experience at source{d}, where they held multiple roles. Konstantin started as a Research Intern, then advanced to a Research Engineer, where they worked on the development of a core ML Library. Konstantin later became a Machine Learning Engineer II and ML Team Coordinator.

Konstantin also has experience as a Research Intern at the Skolkovo Institute of Science and Technology. Here, they focused on research in overlapping community detection methods and Mixed Membership Stochastic Blockmodel, resulting in the development of a new method and the publication of several articles.

Konstantin Slavnov began their education at the Lyceum of Information Technologies 1533 from 2007 to 2011, where they studied computer programming. Konstantin then pursued a Bachelor's degree in Mathematics and Computer Science at Lomonosov Moscow State University (MSU) from 2011 to 2015. Following that, they simultaneously pursued two Master's degrees, one in Machine Learning at Skolkovo Institute of Science and Technology from 2016 to 2018, and another in Optimization and Statistics at the Higher School of Economics from 2015 to 2017. Continuing their academic journey, they completed a Doctor of Philosophy (PhD) in Data Mining at the Institute for Information Transmission Problems in 2018.