Ayesh Madhuranga

A full-stack web application that transforms app ideas into detailed architectural blueprints using Google Gemini AI, featuring real-time streaming, user authentication, and a modern glassmorphism UI built with React and TailwindCSS.

A RESTful API built with Node.js and Express for managing personal contacts securely. The application features JWT-based authentication with bcrypt password hashing, allowing users to register, login, and perform full CRUD operations on their private contact lists stored in MongoDB.

Modern responsive portfolio website showcasing projects and skills with smooth animations and interactive UI elements. Built with Next.js and React featuring dynamic content, glassmorphism design, and optimized performance.

A complete Android marketplace app connecting vegetable sellers directly with buyers. Features multi-role authentication, product listings, search/filter, shopping cart, PayHere payment integration, and order tracking. Built with Java and Firebase to support UN Sustainable Development Goals by improving market access for small vendors.

A machine learning application that predicts loan default risk using customer financial data. Built with Python and XGBoost, achieving 92% accuracy with advanced gradient boosting algorithms. Features an interactive web interface for real-time risk assessment, model performance analytics, and comprehensive data visualization.

Designed and deployed an inventory management web application on AWS using a multi-tier architecture. Built a VPC with public and private subnets, hosted the web server on EC2 with Apache, deployed MySQL on RDS in a private subnet, integrated S3 for static assets, and configured an Application Load Balancer for traffic management. Monitored performance via CloudWatch.