Yehia Tech is an Arabic-first learning platform for software developers. I’ve worked on it since 2024 as a full-stack engineer, owning features end to end from database design to production.
What I built:
• Course delivery, learner dashboards, and progress tracking
• Quizzes, assessments, and interactive coding challenges
• Authentication, REST APIs, and product analytics with PostHog
• End-to-end tests with Playwright and deployment on Google Cloud (Cloud Run, Cloud SQL)
The whole product is designed RTL-first, so layouts, typography, and navigation feel native in Arabic rather than translated. Today it serves 3,500+ learners.
Stack: Next.js, React, TypeScript, Prisma, PostgreSQL, Google Cloud, Playwright
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Al Raq Al Manshur is a digital catalog of Eastern manuscripts used by researchers worldwide. The original platform was built on .NET and MariaDB, and I’ve been working as a freelance full-stack developer on rebuilding it with a modern stack.
What I worked on:
• Rebuilding the application in Next.js, TypeScript, and Prisma
• Planning the migration of a large production database from MariaDB to PostgreSQL, including schema redesign, data transformation, integrity checks, and rollback steps
• Using AI-assisted code analysis to map the existing business logic before porting it
• Setting up Docker, GitHub Actions CI/CD, and staging environments on DigitalOcean
Stack: Next.js, TypeScript, Prisma, PostgreSQL, MariaDB, Docker, GitHub Actions, DigitalOcean
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Al Waqfeya is one of the largest Arabic digital libraries, giving readers free access to a huge collection of Islamic and Arabic books, with a large daily user base. I’ve been working on it as a freelance full-stack developer since 2025.
What I worked on:
• Building and improving frontend features in Next.js
• Developing and integrating APIs with NestJS
• Working with the MongoDB data layer behind the library’s catalog
• Investigating and fixing production issues across the stack while keeping the platform fast and stable under heavy traffic
Stack: Next.js, React, TypeScript, NestJS, Node.js, MongoDB
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Insights is my graduation project from Ain Shams University (2024): a web tool that lets users upload datasets, explore them, and find insights through statistics, interactive charts, and machine learning model results.
I built the frontend, including:
• Dataset upload with drag and drop, plus a paginated data grid
• Interactive charts powered by filter APIs
• Statistics pages and ML model result views
• Sign-up, sign-in, and JWT authentication with protected routes
• Form validation with React Hook Form and Yup
Stack: React, Vite, Material UI, Plotly.js, React Hook Form, Yup
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