Muhammad Abd-Ur-Rahman

I’m a Computer Science student at NUCES-FAST (Karachi) with a CGPA of 3.74/4.00 and Dean’s List honors. I’ve worked as a Software Engineering Intern and currently serve as a Student Teaching Assistant, which reinforces my focus on clear, maintainable engineering and helping others learn.

In my internship at TeReSol Pvt. Ltd., I designed and implemented a Library Management Java Jakarta-EE backend using a layered architecture (Model ↔ Repository ↔ Service ↔ Controller). I also engineered a Stock Analysis Tool in Python with FastAPI, pandas, and Streamlit to process and visualize historical NASDAQ CSV data.

My projects reflect my interest in scalable backend systems and applied ML. I built a Context Aware Recommendation System with FastAPI, PostgreSQL, pandas, PyTorch, and scikit-learn—using Neural Collaborative Filtering (NCF) and Matrix Factorization (SVD), plus cold-start handling via Popularity-Based Filtering (PBF) and Context-Based Filtering (CBF). I also built an async HTTP server from scratch over raw TCP in C on Linux with an SQLite persistence layer, validating robustness with ASan/UBSan and extensive fuzz testing.