Software Portfolio
Software Engineer specialising in Python, React/React Native, and AI-powered product development with published machine learning research and hands-on full-stack project delivery.
Built a machine learning system to predict whether NHS patients will attend or miss appointments — helping reduce wasted clinical time and improve resource allocation using a real-world healthcare dataset.
A full-featured social networking mobile application built with React Native and Firebase backend.
A full-featured Django LMS with a complete learning hierarchy courses → modules → lessons plus quizzes, progress tracking, downloadable resources, and a Bootstrap UI with authenticated course player.
A civic tech platform connecting users with public services, featuring maps, real-time data, and ML-powered feedback processing.
A full-stack event platform with separate admin and user dashboards, real-time Firestore listeners, QR code tickets, dark mode, and CSV export throughout.
A desktop inventory application built with Python and Tkinter. Features role-based access, product CRUD, sales and purchase tracking, and automatic low stock alerts.
A full-featured Flask web application for a car insurance company with customer and admin dashboards, insurance policy management, incident reporting, and a RESTful API.
Published research focused on early prediction of diabetes using applied machine learning techniques. The study explores data preprocessing, feature engineering, model selection, and evaluation strategies to develop an effective clinical decision-support system for early disease detection.
Available for Opportunities
Open to software engineering roles, AI/ML projects, and freelance collaborations. I respond within 24 hours.