Saad Iqbal

I'm building end-to-end machine learning solutions that turn business problems into production-ready systems, from data pipelines and feature engineering to model deployment.

For a Brain Tumor MRI Classification project, I built an intelligent pipeline that pre-screens MRI view types before processing. The multi-model architecture reduced computational overhead by 40% and achieved 87% accuracy despite limited dataset constraints.

I developed a House Price Prediction Engine using 50+ real housing features, tested 6+ regression models, and identified the top five price drivers through feature importance analysis. I also built an intelligent job recommendation pipeline that processed 500+ listings and achieved 92% precision in job-skill matching.

Alongside ML work, I created a Flutter ride-booking app with real-time map integration, route visualization, responsive interfaces, and ride configuration flows. I'm currently pursuing a B.S. in Software Engineering at COMSATS University Islamabad while building scalable AI systems.