I've built an AI-based network intrusion detection system that combines Snort 3, machine learning, Flask, Docker, and PostgreSQL, achieving 94% detection accuracy across attacks including DoS, port scanning, brute force, SQL injection, and ARP spoofing.
During my internship at Elite Tech, I worked with web services and networking teams, assisting with network component configuration, internal server testing, web service tasks, and issue resolution.
My projects also include a Flutter movie catalog app with Firebase and REST APIs, Java applications for Dijkstra’s shortest-path and genetic algorithms, and software QA work using Selenium, JMeter, and Jira. I'm completing a Bachelor of Computer Science at Birzeit University.
