Vasilii Muravev
About Vasilii Muravev
Vasilii Muravev is a Senior Software Engineer at TomTom with extensive experience in software development, machine learning, and big data engineering.
Company
Vasilii Muravev is currently employed at TomTom as a Senior Software Engineer. He has been with TomTom since 2022, based in Amsterdam, North Holland, Netherlands. His work involves leading the Lanes Features Team within the Automated Map Making division, where he has implemented a quality metrics system and enhanced the design of a quality measurement system to ensure broader applicability across various products. Additionally, he successfully migrated a new service to Azure, including the setup of AKS and CI/CD pipelines using Azure DevOps.
Previous Employment
Prior to his current role, Vasilii Muravev held several positions at prominent companies. From 2021 to 2022, he worked at Авито as an ML Engineer and at МТС as a Big Data Engineer for five months each. Earlier, he was with Yandex in various capacities: Lead Software Developer for the Web Crawler Team (2015-2016), Team Lead in the Search Quality Department (2011-2015), and Software Engineer (2009-2011). He also has experience as a Software Engineer at the Institute for Systems Analysis, Russian Academy of Science (2009-2010), and as a Teaching Assistant at the Peoples' Friendship University of Russia (2010-2012).
Education and Expertise
Vasilii Muravev has a strong academic background, with degrees from notable institutions. He earned a Master of Science (M.Sc.) in Applied Mathematics from the Peoples’ Friendship University of Russia (2002-2009). He also pursued professional retraining in Computer Science and Data Analysis at the Yandex School of Data Analysis from 2008 to 2010. Additionally, he completed a Data Engineering program at Geek Brains from 2021 to 2022. This extensive education has provided him with deep knowledge and expertise in computer science, data analysis, and software engineering.
Technical Achievements
Vasilii Muravev has made significant technical contributions throughout his career. He played a crucial role in implementing and enhancing quality metrics systems, ensuring their applicability across diverse products. He successfully led the migration of a new service to Azure, including comprehensive setups of AKS and CI/CD pipelines using Azure DevOps. His expertise in these areas underscores his capability to handle complex engineering projects and deliver high-quality solutions in software development and data science.