At Cequence Security, I led behavior-based detection engineering across API and web traffic, designing protections for credential abuse, scraping, injection, and bot-driven attacks. These detections reduced automated and malicious threats by 82% across enterprise customer environments.
I also developed Python automation for log analysis, signal correlation, and detection workflows, improving SOC operational efficiency by 40%. I investigated complex security incidents and turned post-incident findings into durable detection improvements and updated playbooks.
At F5 Networks Inc.(Shape Security Acquisition), I investigated adversary campaigns involving credential abuse, phishing, fraud, and scraping, translating findings into detections and incident response guidance. I mapped attacker techniques to MITRE ATT&CK and evolved detection capabilities from early heuristics to production protections.
Earlier, at Shape Security, Inc, I designed behavior-based detection logic and security controls for web traffic, and at Think Finance, Inc. I performed web application penetration testing and assisted with SIEM monitoring. I hold an M.S. in Computer Science (Information Assurance & Security) from University of Texas at Dallas and an ISCĀ² Certified in Cybersecurity (CC) certification.
