I am an eighth-semester Software Engineering student at Iqra University in Karachi, Pakistan, with a CGPA of 3.80. I specialize in Machine Learning and Data Science and expect to complete my BS in Software Engineering in January 2027.
I build end-to-end machine learning solutions, including exploratory data analysis, data preparation, feature engineering, model training, evaluation, and performance tuning. My work has covered classification, regression, ensemble learning, computer vision, natural language processing, and time-series prediction.
I am currently completing a Machine Learning internship at FlyRank, where I am developing a content-decay ranking pipeline using anonymized SEO data. I have worked with large datasets, including querying a 79M+ row Hugging Face dataset through DuckDB without downloading the complete dataset.
Through internships at 10Pearls and Arch Technologies, I developed AQI prediction, spam classification, handwritten digit recognition, Titanic survival prediction, and stock-price prediction projects. These experiences strengthened my practical skills in Python, Pandas, NumPy, Scikit-learn, TensorFlow, SQL, visualization, and model evaluation.
My final-year project, Skintelli, is an AI-powered offline skin disease screening application. I am contributing to a solution that combines YOLOv8-based lesion detection, Grad-CAM explainability, and an LLM with Retrieval-Augmented Generation to provide accessible preliminary screening explanations.
I also have freelance web development experience creating responsive, cross-browser websites from design mockups. I am interested in junior machine learning, data science, and AI-focused opportunities where I can apply my technical foundation to meaningful real-world products.