Professional Development & Independent Projects – Remote (08/2024–Present)
Developed and tested KQL queries in a lab to improve simulated phishing detection accuracy for Microsoft Sentinel. Built AI-driven detection scripts to support SIEM automation and threat detection workflows in a personal Azure environment. Focused on translating detection logic into executable code and reusable automation artifacts. • Query design and evaluation for phishing detection scenarios • Python scripting for detection automation in Azure lab • KQL analytics development for security signal improvement • Iterative testing to validate detection performance