Daniil Kustov
About Daniil Kustov
Daniil Kustov serves as the Director and Lead of Intelligent Document Automation at VTB, where he has worked since 2020. He has a background in applied mathematics and informatics, with experience in developing RPA solutions and coordinating implementation efforts.
Work at VTB
Daniil Kustov has been working at VTB since 2020, holding the position of Director and Lead of Intelligent Document Automation. In this role, he focuses on developing advanced Robotic Process Automation (RPA) solutions and library components. His work aims to enhance the efficiency of automation processes within the organization. Kustov also configures RPA platforms and Virtual Desktop Infrastructure (VDI) to optimize the execution of algorithms, ensuring that the automation initiatives align with organizational goals.
Previous Experience at Sberbank
Before joining VTB, Daniil Kustov worked at Sberbank from 2017 to 2020 as a Manager in the Rapid Process Automation Laboratory. During his tenure, he coordinated with the Security Department, system owners, and architects to address implementation challenges in RPA projects. His experience at Sberbank provided him with a strong foundation in process automation, which he has since applied in his current role.
Education and Expertise
Daniil Kustov studied at the National Research Nuclear University MEPhI, where he completed a Bachelor's degree in Business Informatics from 2012 to 2016. He furthered his education by obtaining a Master's degree in Applied Mathematics and Computer Science from the same institution between 2016 and 2018. His academic background equips him with a solid understanding of both theoretical and practical aspects of technology and automation.
RPA Project Involvement
In his professional capacity, Daniil Kustov has participated in the creation of incident management processes for RPA. He leverages his expertise in supporting embedded RPA algorithms to ensure effective implementation and management of automation solutions. His contributions are significant in streamlining processes and improving operational efficiency.