Michael Shalyt
About Michael Shalyt
Michael Shalyt serves as the Algorithms Team Lead at CyCognito, a position he has held since 2020. He possesses extensive experience in coding and technology ethics, with a strong academic background in physics, computer science, and artificial intelligence.
Work at CyCognito
Michael Shalyt has been serving as the Algorithms Team Lead at CyCognito since 2020. In this role, he applies his extensive knowledge in algorithms and software development to enhance the company's cybersecurity solutions. His focus on ethical technology use informs his approach to developing algorithms that address complex security challenges.
Education and Expertise
Michael Shalyt holds multiple degrees from prestigious institutions. He earned a Bachelor's degree in Electrical Engineering and Physics from the Technion - Israel Institute of Technology from 2005 to 2009. He furthered his education with a Master's degree in Physics from the same institution, completed between 2009 and 2013. Additionally, he studied Physics, Computer Science, and Artificial Intelligence at Leo Beck, achieving a Matriculation diploma from 2002 to 2005. He also completed a program in Entrepreneurship at Y Combinator in 2019.
Background
Michael Shalyt has over 20 years of coding experience, with a strong emphasis on the ethical use of technology. His background combines expertise in quantum physics and software development. He has held various roles in the tech industry, including positions at Check Point Software Technologies and GE Healthcare, where he focused on software development and malware research.
Previous Roles and Contributions
Before joining CyCognito, Michael Shalyt co-founded APERIO Systems, where he served as both Co-Founder & VP Product and later as Co-Founder & CEO. He also worked as a Cyber Warfare Lecturer at John Bryce and as a Research Scholar at Common Cents Lab. His role at Check Point Software Technologies involved leading a malware research team, contributing to advancements in cybersecurity.
Innovations at EvoDo
At EvoDo, Michael Shalyt developed autonomous testing bots that generate exploratory and high-coverage regression tests with minimal human intervention. This innovation reflects his commitment to improving software testing processes and enhancing the efficiency of development teams.