Khawaja Muhammad Laeeq
Computer Science Student & Full-Stack Developer
I build web, mobile, and AI-powered products — from idea to deployed product — and I'm currently exploring agentic AI and modern software engineering practices.
Get to know me
About
Computer Science student at the University of Central Punjab (UCP) with hands-on experience in full-stack development, mobile applications, databases, cloud technologies, and AI-powered systems. Completed a Software Engineering Internship at Arbisoft and built projects involving web applications, REST APIs, cloud infrastructure, and AI-driven workflows. Passionate about building scalable software and continuously learning modern technologies.
Where I've worked & studied
Experience & Education
June 2026 – July 2026
Software Engineering Intern
Arbisoft
Worked on full-stack web development concepts including frontend, backend, REST APIs, authentication systems, testing practices, and AI-assisted development workflows. Gained exposure to Agentic AI concepts, MCP, tools, memory systems, and modern software engineering methodologies.
2023 – 2027
Bachelor of Science in Computer Science
University of Central Punjab (UCP), Lahore
What I've built
Projects
Featured Project
GrantPilot
Completed · DeployedAn AI-powered platform that matches students with relevant scholarships based on academic profiles and eligibility criteria. Backend services handle scholarship ingestion, filtering, recommendation, and LLM-powered opportunity discovery.
PakWheels Mobile App Clone
CompletedA Flutter application featuring vehicle listings, search filters, and detailed vehicle views. UI/UX designed using Figma wireframes with responsive layouts and navigation.
Instagram Clone
CompletedA social media application with authentication, posts, image uploads, and real-time feeds using Firebase Authentication, Firestore, and Storage.
AWS VPN Application
CompletedA VPN application built with Flutter and AWS EC2. Configured cloud infrastructure and implemented secure connectivity features.
Fitness App
CompletedA personalized fitness tracker built with Dart and Flutter, using Firebase as the backend service.
Fake News Detector
CompletedA fake news detection tool built with Python and Flutter, using K-Means clustering and KNN. Paste in a news article and the model classifies it as fake or real.
Competitive Intelligence Monitor
CompletedAn agentic-AI-driven web app for e-commerce competitor tracking. Monitors competitor websites, surfaces comparisons and new activity, and gives AI-powered suggestions for improving your own store.
What I work with
Skills
Languages
Frontend
Mobile
Backend
Databases
Cloud & Tools
AI
Continuous learning
Certifications
- 07ChatGPT Prompt Engineering for Developers
- 08Agent Skills with Anthropic