Vladislav Evtushenko
About Vladislav Evtushenko
Vladislav Evtushenko is a Software Engineer with experience in leading software development projects. He has worked at Gazprom Neft and currently at Entain, and has a strong educational background in computer science and business management.
Work at Entain
Vladislav Evtushenko has been employed as a Software Engineer at Entain since 2023. His role is based in Vienna, Austria, where he works on-site. In this position, he contributes to the development and optimization of software solutions within the organization.
Previous Experience at Gazprom Neft
Before joining Entain, Vladislav Evtushenko served as Lead Software Engineer at Gazprom Neft from 2022 to 2023. His tenure lasted for 10 months in St Petersburg City, Russia. In this role, he was responsible for overseeing software engineering projects and leading a team.
Background in Software Development
Vladislav Evtushenko has a diverse background in software development. He worked as a Full-stack Developer at Kraftvaerk from 2017 to 2019 for two years in St Petersburg City, Russia. His experience spans various technologies and methodologies, contributing to his expertise in the field.
Education and Expertise
Vladislav Evtushenko holds a Master's degree in Computer Science from Saint Petersburg State University, which he completed from 2020 to 2022. He also earned a Bachelor's degree in Computer Software Engineering from the same institution from 2013 to 2017. Additionally, he studied at the Computer Science Center, focusing on Business, Management, Marketing, and Related Support Services, achieving a Product Manager certification from 2021 to 2022.
Technical Achievements
Vladislav Evtushenko has made significant contributions to software performance and efficiency. He enhanced data mappings speed by five times through algorithmic optimizations and reduced network load by 30%. Additionally, he improved performance by eliminating duplication of telemetry data, which saved 10 developer hours monthly. He also reduced telemetry data loss from 13% to less than 1% by customizing open-sourced OpenTelemetry and gRPC libraries.