Alexey Piasetskiy
About Alexey Piasetskiy
Alexey Piasetskiy is a Senior Software Engineer with extensive experience in full-stack development, currently working at Cvent since 2019. He has previously held positions at NCube Ltd, Ciklum, smartwork solutions GmbH, Nimble, and GSN, and specializes in Python programming with a focus on clean code and software architecture.
Work at Cvent
Alexey Piasetskiy has been employed at Cvent since 2019, serving as a Senior Software (Full Stack) Engineer. He works within the Wedding-Spot division, where he applies his expertise in full-stack development. His role involves contributing to various software projects, utilizing his skills in Python programming and software architecture.
Previous Employment History
Before joining Cvent, Alexey worked at several companies in various engineering roles. He was a Senior Software Engineer at Ciklum from 2018 to 2019. Prior to that, he served as a Sr. Back-end Developer at smartwork solutions GmbH for 11 months in 2018. He also held positions as a Python Developer at NCube Ltd from 2017 to 2018 and as a Software Engineer at Nimble from 2014 to 2015. Additionally, he worked as a Platform Engineer at GSN (TV & Games) from 2016 to 2017.
Education and Expertise
Alexey studied at Kherson State University, where he earned a Bachelor's degree in Informatics from 2010 to 2014. He also attended Kherson PTL from 2008 to 2010. His educational background supports his specialization in Python programming, with a focus on clean code and SOLID principles. He has a strong interest in game development, software architecture, and engages in projects related to data science, artificial intelligence, machine learning, and deep learning.
Technical Skills and Specializations
Alexey Piasetskiy specializes in Python programming and emphasizes the importance of clean code and SOLID principles in his work. His technical skills extend to full-stack development, allowing him to contribute effectively to various software projects. He is also interested in game development and has experience in software architecture, data science, and machine learning, which enhances his versatility as a software engineer.