20+ years securing global-scale systems at Mastercard, Enbridge, and Kimberly Clark. I find what automated scanners miss: logic flaws, broken access control, and AI-integrated attack surfaces. Then I build the tooling to make sure they never get missed again.
At Mastercard, I lead Application Security Engineering for one of the world's highest-throughput payment ecosystems. Not governance, not checkbox compliance. Real manual code review, API penetration testing, threat modeling across distributed systems, and building automation that catches what scanners miss entirely.
My edge is rare: I operate equally at the architecture table and in the code. I can threat-model a distributed microservices architecture in the morning, perform manual API penetration testing in the afternoon, and brief the CISO on risk posture by end of day.
I specialize at the intersection of application security and artificial intelligence. That means conducting threat modeling for LLM-integrated systems, identifying prompt injection and inference abuse risks, and building AI-augmented offensive security tooling that operates autonomously.
With over two decades of hands-on experience, I advise organizations on building security programs that actually scale. Programs that combine deep technical execution with executive-level risk communication across financial services, energy, and critical infrastructure.
Available for speaking engagements and advisory conversations.