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Lorenzo Fontana is a seasoned Security Engineer with a robust background in application security and threat detection, currently employed at Meta since September 2019. At Meta, Lorenzo has led security reviews and engineered solutions utilizing the Pysa static analysis tool to enhance security and privacy for Instagram and its backend services, while also developing automation frameworks to optimize response times to security alerts. Prior experience includes working as an Information Security Engineer at UniCredit Services from December 2015 to September 2019, where Lorenzo focused on vulnerability analysis and incident management. Notably, Lorenzo spent time as a Computer Security Researcher at UC Santa Barbara, contributing to security research on binary analysis frameworks. Academic qualifications include a Master’s degree in Computer Science Engineering from Politecnico di Milano and specialized training in Agile Software Development from the Technical University of Munich, among other credentials.