Dan is an accomplished application security expert with a robust foundation in software and security engineering. He brings extensive experience in application penetration testing, leveraging both manual techniques and automated tools to identify vulnerabilities. Dan is also at the forefront of applying AI to offensive security, building custom LLM-powered agents and tooling to hack web applications, APIs, client-server software, and virtually anything exposed on the web. By augmenting traditional testing methodologies with autonomous and semi-autonomous AI agents, he is able to discover vulnerabilities at greater scale and depth. Dan actively engages in bug bounty programs, where he has successfully uncovered and reported critical security flaws to leading enterprises, including Fortune 10 and Fortune 100 companies. His expertise spans identifying and responsibly disclosing vulnerabilities across web and mobile applications, as well as IoT devices.

Dan holds a Bachelor's degree in Computer Science and a Master's degree in Software Engineering, both from Carroll University.