Aleksei Krikunov
About Aleksei Krikunov
Aleksei Krikunov is the Team Lead of the Computer Vision Team at RingCentral, where he has worked since 2021. He has a background in machine learning and computer engineering, with previous experience at RingCentral and ITMO University.
Current Role at RingCentral
Aleksei Krikunov serves as the Team Lead of the Computer Vision Team at RingCentral, a position he has held since 2021. In this role, he leads research and development initiatives focused on Computer Vision tasks utilizing Deep Learning techniques. He is responsible for managing project progress and risk, ensuring that team processes adapt to dynamically changing conditions. His leadership includes conducting performance reviews and mentoring newcomers within the team.
Previous Experience at RingCentral
Before his current role, Aleksei worked at RingCentral as a Senior ML Engineer from 2018 to 2021. During his tenure, he was responsible for building prototypes for future features in Computer Vision as part of a CaaS offering. His work contributed to the development of innovative solutions within the company.
Background in Computer Science and Engineering
Aleksei Krikunov studied at ITMO University, where he earned a Master's degree in Computational Science from 2014 to 2016. He also completed a Specialist degree in Computer Engineering from 2009 to 2014. His educational background provided a solid foundation for his career in technology and engineering.
Previous Roles and Experience
Aleksei has held various positions in the technology sector. He worked as a Scientific Programmer at ITMO University from 2015 to 2018, focusing on clinical decision support systems. Prior to that, he was an Erlang/C Developer at Alert Logic for 11 months in 2012-2013 and a Junior .NET Developer at Дневник.ру for 9 months in 2011-2012. These roles contributed to his expertise in software development and machine learning.
Technical Skills and Contributions
Aleksei develops and maintains infrastructure for training and continuous integration/continuous deployment of deep learning models. His responsibilities include leading the Computer Vision team in building prototypes and ensuring the successful implementation of machine learning projects. His technical skills are essential for advancing the capabilities of the team.