Muhammad Luqman Bisthamy Bin Sham Zulaney

Hi, I’m Muhammad Luqman Bisthamy, a final-year Computer Science student at IIUM specializing in Data Science and Computational Intelligence. I’m currently working on my FYP, HifzAI—an AI-powered Quran memorization system using Whisper ASR, Flask, and Flutter.

I enjoy building practical ML/NLP solutions, experimenting with model performance, and solving real problems with data-driven approaches. I’ve also completed multiple academic projects involving classification, sentiment analysis, predictive modeling, and big data processing.

I’m motivated, detail-oriented, and love learning by doing—especially in AI, ML, and real-time applications. I’m excited to grow further in an industry environment.

I have hands-on experience delivering practical AI and data-driven projects throughout my Computer Science degree. My work includes building an AI-powered Quran memorization system (HifzAI) using Whisper ASR, Flask, and Flutter, developing large-scale sentiment analysis pipelines, and training machine learning models for predictive and classification tasks. I routinely work with Python, Scikit-learn, Pandas, NLP techniques, and data preprocessing workflows. My experience spans end-to-end development—from data cleaning and feature engineering to evaluation, deployment, and user-facing integration.

I am currently pursuing a Bachelor of Computer Science (Hons.) at the International Islamic University Malaysia, specializing in Data Science and Computational Intelligence, with a CGPA of 3.75 and 6 consecutive Dean’s List awards. My coursework includes Machine Learning, Data Science, NLP, Big Data Analytics, Intelligent Systems, and Statistics. I also completed a Foundation in Engineering and Computer Science at IIUM with a CGPA of 3.39. My academic journey is strongly focused on AI, data analysis, and practical machine learning applications.