Marwan User

For my final-year project at Asia Pacific University of Technology & Innovation, I built PhishGuard, a machine-learning system that detects phishing websites. Its XGBoost model scored 97.42% accuracy on the UCI phishing dataset.

I developed a FastAPI backend, web dashboard, and Chrome/Edge extension that warns users in real time. The system also provides SHAP-based explanations and MITRE ATT&CK mapping for each verdict; testing helped me identify and fix defects.

As an Intern at TV47, I helped staff troubleshoot network and Wi-Fi problems and supported them with software and file issues. I’m looking for a remote IT support, helpdesk, or junior security role.