I’m an emerging cybersecurity and AI observability engineer with hands-on experience across DevSecOps and security analytics. I build practical pipelines and automation that help teams detect threats faster, reduce false positives, and respond more reliably—often by bringing AI-supported workflows into real security monitoring systems.
I’m especially interested in turning security telemetry into actionable insights using skills in Python, bash, PowerShell, SIEM/EDR tooling, and data analytics. From designing automation for vulnerability scanning and incident enrichment to hardening cloud and endpoint environments with zero-trust principles, I enjoy building secure, scalable systems where evidence and response are tightly connected.
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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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