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Ghulam Mustafa
Aspiration Statement
Computer Science student passionate about building impactful software solutions. Interested in full-stack development, with a growing curiosity for AI and LLMs, aiming to create intelligent, user-focused digital products.
Core Skills
- Agentic Development
- Google Earth Engine
- Python
- React
Core Competencies
- Problem Solving
Preferred Career Paths
First priority: Full Stack Developer
Second priority: AI Engineer
Third priority: Data Engineering
Experience
Internship / Volunteer Work
- Software Developer, 10Pearls (June – August 2025)
- Undergraduate Researcher, Habib University (May 2025 – May 2026)
Publications / Creative Projects
- Research Paper – undergraduate research project on Google Earth Engine featuring a dashboard with web-based applications for historical weather trends
- Research Paper – undergraduate research project on Google Earth Engine featuring a dashboard with web-based applications for real-time monitoring
- Research Paper – undergraduate research project on Google Earth Engine featuring a dashboard with web-based applications for early warnings across all districts of Pakistan
- Research Paper – https://gdss-teacher.github.io/mahol-nama/apps/weather-anomalies/
Final Year Project
Project Title
SafeKarachi
Description
Safe Karachi aims to solve two major problems for daily commuters: scattered crime information and unsafe navigation. Currently, details about street crimes, protests, or road accidents are scattered across news channels and social media, making it very hard for the common man to stay updated. Traditional apps like Google Maps also only focus on finding the fastest route, completely ignoring neighborhood safety. This project solves this lack of safety concern by creating a user-powered platform where citizens can both report incidents and stay up-to-date in real time. AI was used to verify these crowdsourced reports and power a custom "crime-aware" navigation engine that balances travel time with personal security, providing users with safer optimized routes to avoid high-risk areas.
Project Pictures
