At THE ARZENS, I built a network intrusion-detection ML pipeline using Random Forest, XGBoost, and MLP models on CICIDS2017 data; MLP performed best. I also delivered a feature-engineering pipeline with statistical drift detection through a versioned GitHub release.
As a Red Team Intern at Cyberster, I performed reconnaissance and enumeration in authorized lab environments and tested web vulnerabilities using security tools and intentionally vulnerable applications. I also practiced privilege escalation, persistence techniques, lateral movement, and network pivoting.
My projects include a NIST SP 800-207-aligned Zero Trust architecture with dynamic trust scoring and automated threat response, using Ollama for local AI threat analysis. I also built a distributed file system with encrypted storage, JWT-based authentication, and AI-assisted monitoring.
At Air University, where I’m studying for a BS in Cybersecurity, I focus on practical work across AI security, red teaming, penetration testing, and security automation. I’ve also built tools for passive security assessment and YARA-based malware analysis.
