Senior Product Security Engineer with 5+ years of experience securing modern products across web, API, mobile, cloud, and secure SDLC workflows. I am now extending that foundation into AI/ML security, with growing focus on adversarial ML, model abuse scenarios, and secure design for AI-enabled systems.
I work at the intersection of offensive security, secure engineering, and program design — helping teams ship faster with better security posture.
Built and operationalized security review processes, threat modeling, release certification, secure coding enablement, and vulnerability management across engineering organizations.
Strong execution across web, API, mobile, source code review, network assessment, AWS security, supply chain risk, and CI/CD security.
Active in security communities, talks, workshops, and practical learning around adversarial ML and AI/ML security, with a bias toward real-world demonstrations.
A track record of improving coverage, reducing risk, and building practical security programs inside high-growth product environments.
The profile below is optimized to show both practical industry experience and forward-looking security curiosity.
I am actively transitioning into AI/ML security by building on my background in product security, offensive testing, cloud security, and secure SDLC. My current focus includes adversarial machine learning, model abuse scenarios, and secure-by-design approaches for AI-enabled products.
I document this journey publicly through my 100 Days of AI Security playbook.
I don’t just practice security — I teach, demo, and contribute to the communities that shape it.
• Core Team Member – Seasides Security Conference
• Hardware Village Lead – Seasides (Hardware Security & Embedded Systems)
• Active contributor to global security communities including OWASP & BSides
Recognition earned through execution, consistency, and contribution to the broader security ecosystem.
I’m especially well suited for roles in product security, application security, cloud security, security engineering, and AI/ML security, bringing a practical engineering foundation with growing specialization in secure AI systems.