About Me
Selected Projects
Ethypharm Incidents
An internal safety and compliance reporting app for Ethypharm staff, enabling efficient incident tracking across sites.
CSN Capture
A secure media capture tool for workplace compliance, audits, and field reporting, developed by Connected Safety Net Limited.
GemMintClub
A sleek digital companion for trading card collectors to organize, value, and showcase their collections.
Dhartee
Pakistan’s first location-based real estate platform that helps users discover, buy, and list property with precision and ease.
RezzList (Hotel Waitlist)
A smart hotel waitlist platform that connects guests to last‑minute room availability by matching cancellations with loyal customers.
Let’s Get Lost
A travel blog and digital platform offering immersive destination stories, travel tips, and adventure guides across Europe and beyond.
Work Experience
Over 11 years of experience with a proven track record of delivering high-quality software solutions.
My Education
2016 - 2018
Capital University of Science & Technology
Focused on advanced software architecture, systems design, and specialized in machine learning.
2012 - 2016
Capital University of Science & Technology
Gained a comprehensive foundation in computer science, algorithms, data structures, and the full software development lifecycle.
Research & Publications
Thesis for Master of Science in Software Engineering
Abstract
This research explored the novel intersection of affective computing and machine learning to interpret human emotions from simple, hand-drawn geometric shapes. The study proposed a model capable of analyzing vector data from drawings to classify the emotional state of the user, paving the way for new non-verbal, non-intrusive methods of emotional assessment in digital interfaces and therapeutic applications.
Key Contributions
- Developed a custom data acquisition pipeline for collecting and processing hand-drawn shape data.
- Engineered and trained a Convolutional Neural Network (CNN) to classify drawings into distinct emotional categories (e.g., happy, sad, calm, anxious).
- Achieved a classification accuracy of over 85% on a proprietary dataset, demonstrating the viability of the approach.
- Published findings in the International Journal of Human-Computer Interaction (placeholder).
Latest Articles
I write about software engineering, mobile & web development, and leadership. Here are my latest thoughts.