Cybersecurity Engineer and AI Security graduate student with 3 years of experience across SOC operations, threat detection, SIEM monitoring, incident response, and vulnerability management. Skilled in Python automation, cloud security, and building detection/response workflows.
Experienced with AWS security, EDR/XDR, SOAR, IAM, and Zero Trust. Hands-on with penetration testing, MITRE ATT&CK emulation, and AI-driven threat detection to reduce false positives and improve SOC visibility.
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A production-ready IT support automation system designed specifically for healthcare environments. Automatically monitors production RIS/PACS radiology systems, detects critical incidents affecting patient care, creates prioritized tickets, and provides real-time dashboards for managing 20-30 concurrent support cases.
A Streamlit tool for automated threat-intel research on IoCs-IPs, domains, and file hashes. It enriches results with VirusTotal and ThreatFox, searches bundled datasets for context, and supports single or batch analysis with downloadable reports.
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