Muhammad Shakeel's Work | ContraWork by Muhammad Shakeel
Muhammad Shakeel

Muhammad Shakeel

MERN Stack Developer | Backend-Focused | REST APIs

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Followed by Denis T and GALLERY L

Rawalpindi, Pakistan

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Rawalpindi, Pakistan

A full-stack platform for managing barber shop and salon operations. The application brings appointment booking, customer and team records, services, queues, payments, and operational dashboards together in a React web interface backed by a Node.js API. Barber Management System is organized as a frontend and backend application: Frontend: React single-page application served during development by Vite. Backend: Express API with MongoDB persistence, Redis-backed queue infrastructure, real-time Socket.IO (http://Socket.IO) communication, and integrations for payment processing, email, and image storage. The backend source is organized into route handlers, controllers, services, models, middleware, validators, configuration, and utilities. The domain includes appointments, users, barbers, branches, chairs, services, queues, payments, audit logs, authentication, and dashboard features.
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This is a production-ready MERN Stack application architecture showing a clean, modular backend integration. Key Highlights of This Work: • Robust Backend System: Built using Node.js & Express.js with a scalable Model-View-Controller (MVC) and layered service pattern. • Secure RESTful APIs: Seamless communication flow between Client (React) and Database via optimized HTTP/REST API endpoints. • Advanced Security: Integrated JWT Authentication, secure route guards, and environment-driven configurations (.env). • Scalable Database: Clean MongoDB architecture designed for complex schemas, indexes, and fast CRUD operations. • Industry Standards: Structured folder hierarchy (controllers, routes, middlewares, services) with proper global error handling and async error wrappers. This reflects the precise coding standards, clean code architecture, and database efficiency I bring to your backend projects.
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Cover image for This is a social media
This is a social media web application built with a Node.js and Express backend and a React frontend. The application allows users to interact with each other, share posts, and manage their profiles seamlessly. Users can create accounts, log in, and engage with content through likes, comments, and shares. The application also features a responsive design, ensuring a smooth experience across various devices. With a focus on user experience, it leverages modern technologies such as MongoDB for data storage and Vite for fast frontend development. This project aims to provide a platform for users to connect and share their thoughts and experiences in a vibrant online community.
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Cover image for The Virtual Try-On Outfit Assistant
The Virtual Try-On Outfit Assistant is an AI-powered system that enhances online fashion experiences by allowing users to upload images, receive intelligent clothing recommendations, and visualize outfits virtually. Built using deep learning models and a responsive Streamlit interface, this project combines computer vision with personalized fashion technology.
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