MD. Shakawat Hossain Faravi
Full-Stack Developer | MERN, Next.js, and Serverless Architectures
Green University of Bangladesh
Project
Engineered a high-performance, SEO-optimized Single Page Application (SPA) with a secure, authentication-protected Admin Dashboard. Implemented dynamic content management (CRUD) for courses and notices, utilizing Supabase PostgreSQL and Cloud Storage with
Project
Engineered a high-performance web application using Next.js (App Router) for direct public communication. Built a secure anonymous complaint system protected by Row Level Security (RLS) and Anti-SQL Injection. Developed a custom admin dashboard featuring
Project
A comprehensive educational and career-tracking SaaS application built on a strictly RESTful MVC architecture.
Project
Built an end-to-end Deep Learning application to classify chest X-rays into 6 disease categories with 96.92% accuracy. Integrated OpenCV for image preprocessing and deployed the model via a Flask API. GitHub: Chest X-ray Classification