Hello I'm

Mariam Muhammed

I'm a

Cairo, Egypt

Mariam Muhammed

About Me

Hi, I’m Mariam, a passionate Full-Stack Developer with expertise in crafting robust, scalable web applications. I specialize in the MERN stack and advanced database design, and I’ve built RESTful APIs in JavaScript. My adaptability and strong project-management skills enable me to deliver high-quality solutions across the full software lifecycle.

Currently, Immersed In:

MERN Stack Node.js React JavaScript TypeScript MongoDB Next.js Nest.js

Education

Bachelor's Degree in Computer Engineering

Future University in Egypt (2019-2023)

GPA: 3.5/4.00

Technical Skills

Languages

TypeScript JavaScript Python C#

Backend & Serverless Technologies

Node.js Express.js Nest.js Prisma ORM Zod (Schema Validation) WebSocket / Realtime Communication

Frontend Technologies

React.js Next.js CSS Frameworks Tailwind CSS Shadcn/ui Redux NextUI

Databases

MongoDB Firebase MySQL PostgreSQL SQL Server

DevOps & Deployment

Vercel Cloudflare Workers Docker

Authentication & Security

OAuth JWT Token Validation & Access Control

AI & Machine Learning

OpenAI Langchain LlamaIndex Prompt Engineering

Tools & Utilities

Cursor IDE Postman (API Testing) Markdown (Documentation) Git & GitHub (Version Control) Notion (Project Management) Slack (Team Communication)

Personal Skills

Teamwork
Time Management
Creativity
Motivation
Self-Learning
Research
Organization
Problem Solving

Languages

Arabic Native 95%
English Professional working proficiency 75%

Work Experience

Full Stack Developer (Full-Time)

Convocore AI

Jul 2024 - Present
  • Engineered end-to-end web application features using Node.js, TypeScript, React, and Next.js, improving user workflows and platform scalability.
  • Integrated and maintained third-party APIs (e.g., Telegram, WhatsApp, voiceflow, VAPI) for communication and authentication.
  • Designed and implemented secure backend systems using Express.js, Firebase, and Cloud Functions, ensuring data privacy and GDPR compliance.
  • Built responsive, dynamic frontends using NextUI, with optimized UX for both mobile and desktop environments.
  • Developed and managed serverless microservices and background jobs, optimizing performance and reducing latency.
  • Implemented real-time communication systems using WebSockets and Firebase Realtime Database for seamless bot-to-user interactions.
  • Managed deployment and infrastructure through Vercel, incorporating environment-specific configurations.
  • Resolved client integration issues and delivered tailored solutions on a weekly basis.
  • Consistently worked 40+ hours per week to deliver high-quality features.
Full Stack Development Web Application Architecture API Integration Serverless & Cloud Functions Realtime Systems GDPR & Data Privacy

Back-end Developer (Intern)

AITB

Jul 2024 – Aug 2024
  • Enhanced back-end development skills using Node.js and TypeScript.
  • Contributed to building scalable RESTful APIs for internal applications.
  • Optimized server-side logic for performance and maintainability.
  • Assisted in managing data workflows and database operations.
  • Collaborated with the development team in an agile environment.
Back-end Development API Development Database Integration

Projects

DocuBrain - AI Content Management Platform

A comprehensive AI-powered platform designed to revolutionize content creation and document management. Features multi-language translation capabilities, text-to-speech conversion, and intelligent document summarization. The platform includes advanced content generation tools for blogs, emails, reports, and social media posts with customizable tone and length parameters. Implemented robust version history tracking and secure file management system with a unique 24-hour trash restore feature for data recovery.

Next.js TypeScript OpenAI API ElevenLabs Tailwind CSS

Real-Time Chat Application

A sophisticated real-time messaging application built for seamless two-user communication. Implemented end-to-end encryption for secure message transmission and robust user authentication system. Features include dynamic online/offline status tracking, message persistence, and real-time notifications. The application demonstrates advanced WebSocket implementation for instant message delivery and responsive UI design optimized for both desktop and mobile devices.

Node.js React TypeScript MongoDB WebSocket Express.js JWT

Twitter Clone - Social Media Platform

A full-featured Twitter clone that replicates core social media functionalities with modern web technologies. Implemented real-time tweet posting with rich media support through Cloudinary integration for image and video uploads. Utilized Zustand for efficient state management, ensuring smooth and responsive user interactions. Features include user profiles with editable information, follow/unfollow functionality, real-time feed updates, and engagement metrics (likes, retweets, comments). The platform emphasizes user experience with intuitive design and seamless navigation.

React Node.js MongoDB Zustand Cloudinary Express.js

Sorting Algorithms Visualizer

An interactive educational web application designed to visualize and understand popular sorting algorithms through dynamic animations. The application demonstrates the step-by-step execution of algorithms including Merge Sort, Quick Sort, Bubble Sort, Insertion Sort, and Selection Sort. Users can generate custom arrays, adjust sorting speed, and compare algorithm performance metrics. This project serves as an excellent learning tool for computer science students and algorithm enthusiasts to grasp complex sorting concepts visually.

React TypeScript CSS3 Animations Algorithm Implementation

University Project Recommendation & Search Engine

Future University in Egypt - Graduation Project

Oct 2022 - Jul 2023

A comprehensive academic resource platform developed as a graduation project to revolutionize how students discover and explore academic content. The system features a powerful search engine that indexes university-wide projects, research papers, articles, and academic resources with advanced filtering capabilities. Implemented an intelligent recommendation engine using machine learning algorithms that analyzes student academic performance, course history, and interests to suggest the most suitable graduation projects. The platform includes user authentication, project submission workflows, and administrative dashboards for faculty management.

React Node.js TypeScript Machine Learning Database Design Search Algorithms

Contact Me