
American University of Sharjah
2023 - 2027B.Sc. in Computer Science
Relevant coursework: Data Structures and Algorithms, Object-Oriented Programming, Web Application Programming, Artificial Intelligence, Computer Systems, and Data Science.
Who I am
I'm a Computer Science student at the American University of Sharjah, with a strong pull toward artificial intelligence, data analytics, cybersecurity, and blockchain technology. What I enjoy most is figuring out how systems actually work, then looking for the places where they can be made faster, cleaner, or more secure. That curiosity is usually what turns a course concept into something I want to build.
Most of my growth has come from doing the work rather than just reading about it: university projects, plenty of self-directed learning, and hands-on technical builds that push me to learn the parts I don't know yet. I care about writing practical software that solves real problems, and I'm always looking for the next project that stretches my skills a little further.
Background

B.Sc. in Computer Science
Relevant coursework: Data Structures and Algorithms, Object-Oriented Programming, Web Application Programming, Artificial Intelligence, Computer Systems, and Data Science.

High School Diploma
Lead organizer of the school's first ASCSMUN, its inaugural Model UN conference, coordinating the committees, logistics, and delegate experience.
Where I've worked
Things I've built
A blockchain credential verification platform, deployed live on Polygon Amoy, that registers credential file hashes on-chain and verifies authenticity through file upload, certificate ID, or QR code. The privacy-first Solidity registry features owner-only issuance, duplicate prevention, hash and ID lookups, MetaMask integration, and in-browser SHA-256 hashing.
A phishing analyzer pairing a deterministic signal engine (lookalike domains, link spoofing, and SPF/DKIM/DMARC parsing via .eml) with an LLM that explains each verdict in plain language. It is tuned against real legitimate emails to eliminate false positives, so the AI explains findings but never changes the rule-based score.
A Python difference-in-differences pipeline analyzing 1.7M Dubai property transactions to evaluate Metro Blue Line pricing effects. It identified off-plan supply mix as the driver of the initial −6.7pt effect, with resale-only analysis showing near price parity.
What I work with
Contact
Whether you have an opportunity in mind, a project to collaborate on, or just want to say hello, I'd love to hear from you. Reach out through any of the channels below and I'll get back to you within a day or two.