Yuri Shafet
About Yuri Shafet
Yuri Shafet is a Senior Software Engineer with extensive experience in machine learning and cybersecurity. He has worked for notable companies such as PayPal and Rezilion, and has a strong academic background in Computer Science from Ben-Gurion University of the Negev.
Work at SOTI
Yuri Shafet has been employed at SOTI as a Senior Software Engineer since 2023. In this role, he applies his extensive knowledge in software development and engineering to contribute to the company's projects. His current position allows him to leverage his background in machine learning and cloud computing to enhance SOTI's software solutions.
Previous Experience in Software Development
Before joining SOTI, Yuri Shafet held several positions in notable companies. He worked at CyActive as a Software Developer from 2013 to 2015, where he contributed to the company's software projects before its acquisition by PayPal. He then served at PayPal from 2015 to 2019, first as a Machine Learning Team Lead and later as a Machine Learning and Security Researcher, focusing on innovative solutions in machine learning and security.
Leadership Roles and Research Contributions
Yuri Shafet has held leadership positions in various organizations. He was the Head of Research and Architecture at Rezilion from 2021 to 2023 and served as Team Lead from 2019 to 2021. His leadership roles involved overseeing research initiatives and architectural decisions, emphasizing his expertise in software development and machine learning.
Education and Expertise
Yuri Shafet earned both his Bachelor's and Master's degrees in Computer Science from Ben-Gurion University of the Negev. He completed his Bachelor's degree from 2011 to 2014 and his Master's degree from 2015 to 2017. His academic background provides a solid foundation for his work in software engineering and machine learning.
Innovations and Patents
Yuri Shafet has drafted 14 patents in the fields of Cyber Security, anti-fraud, and Machine Learning. This indicates his significant contributions to innovation and his commitment to advancing technology in these critical areas. His work includes developing machine learning and genetic algorithms for applications such as internal threat detection and anti-malware models.