At Bank of New York Mellon (BNY), I lead security and governance for enterprise AI initiatives, including risk assessments, threat modeling, and lifecycle controls from design through production. I design frameworks aligned with NIST AI RMF and ISO/IEC 42001, and deploy RAG-based and agentic AI systems with security controls and threat monitoring.
Through the AI4Ops program, I partnered with the CISO organization, engineering, risk, and compliance to deliver $6M in risk reduction and $2M in vendor savings. My work applied AI security controls, anomaly detection, and automated threat analytics.
At the Department of the US Army, I led cloud security architecture for migrating legacy systems and integrating classified and unclassified workloads into AWS GovCloud. I implemented RMF and FedRAMP High controls, achieving a 100% audit compliance rate for the cloud infrastructure.
Earlier, at General Services Administration (GSA), I managed IT modernization initiatives across federal departments and developed security governance frameworks for cloud adoption. I also published peer-reviewed research on machine learning and AI for cybersecurity threat detection, anomaly detection, intrusion detection, and malware analysis, presented at CSCE 2025.
