Guy Guzner has a diverse work experience spanning several companies and roles. Guy is currently the CEO & Co-Founder of Savvy since May 2023. Prior to that, they served as the VP Product & Co-Founder of Savvy from August 2021 to May 2023. Guy has also worked as an Entrepreneur from December 2019 onwards, without specifying a specific company. Guy has also held positions as a Board Member at ITsMine since December 2019, an Insider at YL Ventures since November 2019, and a Member at Glilot Capital Partners since August 2019. Earlier in their career, they were a Member at Cyberstarts VC from April 2018 onwards. Guy has also worked at Symantec as the SVP Engineering - Web Isolation from August 2017 to November 2019. Before that, they were the Co-Founder and CEO of Fireglass, which was acquired by Symantec, from June 2014 to July 2017. Prior to that, they held various roles at Check Point Software Technologies, including Head of Security Products from June 2012 to January 2014, Director of Security Products from June 2007 to June 2012, FireWall-1 Group Manager from September 2005 to June 2007, Application Intelligence Group Manager from September 2004 to September 2005, Team Leader from October 2003 to September 2004, and Project Manager from May 2001 to September 2003. Guy also worked as a Product Manager at NetGuard Ltd from January 2000 to April 2001, where they were responsible for the Guardian FireWall and Guidepost QoS Management products.
Guy Guzner earned a Bachelor of Arts degree in Computer Science from Israel Jobs, where they studied from 1998 to 2003. In 2012, they attended the Stanford University Graduate School of Business for the Executive Program in Leadership. Additionally, they obtained several certifications from Coursera, including Convolutional Neural Networks, obtained in July 2020; Structuring Machine Learning Projects, obtained in April 2020; Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization, obtained in March 2020; Neural Networks and Deep Learning, obtained in March 2020; and Machine Learning, obtained in February 2020.
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