Cybersecurity professional with a Master’s degree focused on Enterprise Security and a background spanning security operations, digital forensics, vulnerability management, and security-focused automation. I work at the intersection of cybersecurity and applied AI, using automation and intelligent tooling to improve operational efficiency while maintaining strong defensive controls in regulated environments.
Experience supporting security operations through SIEM workflows, log analysis, and incident investigation support. Familiar with escalation procedures, documentation, and operational rigor required in enterprise and regulated environments.
Supported forensic investigations related to insider threat, including analysis of endpoint artifacts and log data. Assisted with investigative documentation and evidence handling in compliance-driven environments.
Built and analyzed dashboards and performed targeted log searches using Splunk to support investigations and operational visibility. Focused on extracting meaningful signals from large datasets rather than relying on raw alert volume.
Design and deploy AI-assisted automation to support cybersecurity and IT operations, including scripting and workflow optimization. Current work focuses on practical, controlled use of AI to reduce manual effort, improve consistency, and support secure decision-making rather than autonomous security enforcement.
Support vulnerability management programs using Tenable, including analysis of findings, prioritization, and development of scripts to assist with remediation and audit follow-up. Emphasis on measurable risk reduction and operational accountability.
Develop Python, Bash, and PowerShell scripts to support security audits, system hardening, and operational tasks. Scripts are written with auditability, security controls, and maintainability in mind.
University of North Carolina at Charlotte
Concentration: Enterprise Security
University of North Carolina at Charlotte
Concentration: Cybersecurity
Active Certification