jabid readom

I've built mobile, web, and machine learning projects while completing my Computer Science degree at BRAC University. My thesis develops an adaptive machine learning pipeline for AI-driven software defect prediction using Python, Scikit-learn, Pandas, NumPy, and XGBoost.

For my research, I designed an imbalance-aware ensemble approach and evaluated it across open-source defect datasets, improving defect prediction performance and supporting effort-aware testing through module prioritization. My thesis was nominated for the Best Thesis Award.

I've also built Z-Music, a Flutter music player with local audio streaming, playlist management, and YouTube download API integration. Green Steps is a Kotlin sustainability app with community chat, secure authentication, and real-time synchronization through Supabase and Firebase.

My web work includes DailyCheckMate, a Laravel and PHP task-management system with scheduling, progress tracking, MySQL integration, and MVC architecture. I enjoy using technology to solve real-world challenges and continuing to grow through technical, innovative work.