I am a Computer Science & Engineering graduate and a dedicated Problem Solver with a strong track record on Codeforces and LeetCode. My expertise spans across Full-Stack Development (Flutter & Laravel) and Machine Learning, where I have developed 15+ individual projects.
I specialize in building intelligent systems, having engineered Hybrid ML models and curated custom datasets for complex research. My experience includes working with Google Earth Engine (GEE) and integrating REST APIs for environmental monitoring like the Air Quality Index project. From high-level AI implementation to system administration with Docker and Ubuntu, I bridge the gap between data science and production-ready software.
Custom Bangladeshi traffic sign dataset (9,133 images, 29 classes) + Streamlit web app for real-time detection & classification using a hybrid pipeline: YOLOv8 (detection) + ResNet50 (classification).
Machine learning–based healthcare application for predicting stroke risk using patient medical and lifestyle data.
Flutter-based food ordering & delivery app with Firebase integration.
Machine learning web app that predicts laptop prices based on specifications.
Wearable IoT healthcare device with real-time health monitoring and GPS tracking.
Java Swing–based banking system with MySQL database integration.
PHP-based e-commerce web application with full admin and user functionality.
C++ OpenGL project showcasing animated seasonal transitions using GLUT.
PHP & MySQL–based e-learning web application with multi-user roles.
Console-based C++ system for managing inventory and sales.
Console-based C++ application for budget and expense management.
Menu-driven C++ quiz application with file handling.
Have a project in mind or just want to chat? Feel free to reach out to me!