I turn ideas into working software.
Computer Science at UCP. Building today.
Exploring what intelligence makes possible.
From a real problem in a local market
to the satisfying logic of a word game.
Explore the thinking. Try the result.
Know the price. Know the supplier.
A market companion for Lahore electronics shoppers: transparent product records, comparable prices, QR supplier checks and auditable review workflows.
Fictional shop data. No payments.
Go further. Know your budget.
A cinematic trip planner combining transparent budgets, live flight quotes, venue discovery and private group itineraries.
Live providers where configured. Estimates stay labelled.
A functional clinic platform that reveals its own engineering.
A cinematic full-stack clinic management demonstration: patient booking, clinician workflows, simulated billing, role-based access and an interactive algorithms lab.
Synthetic patient data. Simulated billing.
A small game built on careful logic.
An original C++ puzzle refined into an interactive browser game with seeded puzzles, personal records and a visible search algorithm.
Original C++ foundation. Playable browser edition.Good software earns its place by helping someone.
That is the standard I am learning to build toward.
I’m a Computer Science student at the University of Central Punjab in Lahore, with graduation expected in 2027. I enjoy taking a small, working idea and asking how much better it could become.
My foundations are programming, algorithms, databases and web applications. My next chapter is machine learning: understanding the models, evaluating them carefully, and finding useful problems to solve.
These projects grew from coursework into applications you can explore. Their original repositories remain part of the story.
More about my backgroundA practical foundation in software.
An open mind about what comes next.
Learning that turns into practice.
A few milestones along the way.
Cohort 3, March–May 2026. Awarded by UETians Lahore Endowment Foundation with programme partners.
Completed Python training focused on practical applications and AI agents.
Certificate of achievement for participation in the MERN Stack with AI training workshop.
Issuer links are reproduced from the certificate URL or QR code. Other documents are uploaded scans; a scan is not independent issuer verification.
A proposed parking ecosystem for urban streets in Pakistan: clearer zones, simpler sessions and a better enforcement workflow.
Currently in proposal and architecture. Plate recognition, field testing and payment simulation are planned; this walkthrough explains the concept.
An administrator would outline a parking area. GPS would identify the macro zone, rather than an individual parking space.
I’m interested in thoughtful software, practical AI
and opportunities to learn by building.