Abraham Kang is fascinated with the nuanced details associated with machine learning algorithms, programming languages and their associated APIs. Kang has a B.S. from Cornell University and JD from Lincoln Law School of San Jose. He has worked for various companies helping to drive AI, security, and development. He worked as Principal Security Researcher for Fortify in their Software Security Research group. Prior to this, Abraham worked in application security for over 10 years. He is focused on AI, machine learning, application security, frameworks, blockchain, smart contracts, intelligent assistants, and mobile security and has presented his findings at Toronto Machine Learning Summit, Dexoxx, RSA, Black Hat USA, DEFCON, Devcon, OWASP AppSec USA, and BSIDES.