Writing
Articles about software engineering and backend development.
AgriSense is my final year software engineering project built around a simple question: can software help Sri Lankan farmers make better crop decisions? Here's how I built a mobile app that recommends crops, predicts yield, uses real weather data, and keeps useful features available offline.
Read article →Discover how I built SmartHabit, an end-to-end machine learning application that predicts smartphone addiction risk using a LightGBM model trained on the Kaggle Playground Series dataset. This article covers exploratory data analysis, feature engineering, model comparison, FastAPI backend development, responsive web application design, automated testing, Docker deployment, and lessons learned while transforming a competition model into a production-ready AI application.
Read article →Explore my research on developing a hybrid car rental platform for Sri Lanka that combines traditional rental agencies with peer-to-peer vehicle sharing to make self-drive rentals more affordable, accessible, and technology-driven.
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