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
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
Project
A comprehensive educational and career-tracking SaaS application built on a strictly RESTful MVC architecture.
Key Features & Engineering:
Security: Implemented JWT-based authentication and Bcrypt hashing, featuring a custom Admin-approval workflow for new user registrations.
Core Modules: Developed dynamic Study Sprints, a Master Syllabus tracker, and an Exam performance analyzer utilizing custom mathematical algorithms for real-time progress percentages.
Data Processing: Engineered a Job Board and Community Knowledge Feed incorporating real-time array filtering (Linear Search), database-level sorting, and custom timestamp algorithms for automated deadline countdowns.