CS & AI · University of Leeds · EXP 3.7 GPA
Full-Stack & Machine Learning Engineer
“I’ve managed more people than lines of code I’ve debugged - and both numbers are scary high.”
Final-year CS with AI student at Leeds. My dissertation digs into fake review detection across English and Arabic using ML - territory most researchers haven’t touched yet.
Outside the IDE, I’ve led teams, run events for hundreds of students, and helped build community from the ground up.
Client-server app handling 1,000+ concurrent votes. Secure auth pipeline, near-perfect accuracy under load.
Processes 10,000+ data points with 98% computational efficiency. Algorithmic heavy-lifting in pure Java.
Qt6 dashboard streaming from 12 live sensors. Intuitive UX that cut user onboarding time by 30%.
Flask web app, 500+ products, sub-1.2s load. Built end-to-end: schema, auth, full product flow.
ML pipeline detecting fake e-commerce reviews in English and Arabic - using NLP, LLMs, and translation models to tackle a gap nobody’s filled in Arabic-language research.
Open to internships, collabs, or just a good conversation. I reply fast.
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