Built company website with HTML, Tailwind CSS, Node.js, and Express, integrating client inquiry forms via Sheety API. Developed an internal portal with React, TypeScript, Next.js, and MongoDB to manage tasks, logs, and messaging.
Built responsive web interfaces with HTML and CSS, enhancing UX across all devices. Integrated APIs and authentication to automate form submissions and streamline Google Sheets workflows.
Developed and implemented technical projects using React and Node as part of a selective AI Web Dev Fellowship. Engineered 5 AI-driven projects, impacting 1000+ users through a large-scale final project.
Engineered a high-traffic website for a local tech store, boosting annual revenue to over $60,000. Revamped site using React and CSS, driving monthly consumer interactions to over 1800 people.
A comprehensive backend API for tracking job applications, enabling users to securely manage applications, notes, and statuses with JWT authentication and secure token handling.
# Detailed Overview
Built a robust backend API that allows users to track their job applications with full CRUD functionality. The system features secure JWT authentication with password hashing, token-based authorization, and protected private routes. Designed with clean, modular architecture separating controllers, models, and route logic for maximum scalability and maintainability.
An advanced API for searching, filtering, and sorting product data with comprehensive query features including pagination, field selection, and flexible data access patterns.
# Detailed Overview
Created a powerful RESTful API that provides advanced search and filtering capabilities for product data. Features include dynamic filtering, multi-field sorting, selective field retrieval, and efficient pagination. Built with Mongoose for database modeling and includes comprehensive error handling and async operations for optimal performance and scalability.
A full-stack task management application built with Node.js, Express, and MongoDB featuring complete CRUD functionality, responsive design, and secure backend architecture.
# Detailed Overview
Developed a comprehensive task management solution with full CRUD API functionality and responsive frontend. The application features semantic HTML structure, clean CSS styling, input validation, and custom middleware for security. Built with async error handling and modular architecture to ensure scalability and maintainability.
An AI-powered customer support chatbot for a tech store, providing automated support with natural language processing and contextually relevant responses using OpenAI GPT models.
# Detailed Overview
Built a sophisticated AI customer support system that enhances automated support for daily users. The full-stack application uses Next.js and React with server-side rendering for optimal user interaction. Integrated OpenAI GPT models for natural language processing, delivering fast and contextually relevant responses to customer inquiries.
# About Me
Hello! I'm Adham Mustafa, a passionate Computer Science student at Queens College, CUNY, with a 3.7 GPA and expected graduation in Spring 2027. I specialize in full-stack development with experience in modern web technologies and AI integration.
My journey in tech has taken me through various internships and fellowships, from building high-traffic websites that boost revenue to developing AI-powered solutions. I've worked with companies like Expoline Consulting and The Cove Development, where I've honed my skills in React, Node.js, and database management.
I'm always excited to work on challenging projects and collaborate with talented teams to build innovative solutions that solve real-world problems.