Mazen Chaouch

Delivered hands-on training to 100+ students in fullstack web development, covering HTML, CSS, JavaScript (ES6+), React, Node.js, Express, MongoDB, REST APIs, TypeScript, and Next.js.

Taught core computer science fundamentals, including algorithms, data structures, object-oriented programming, recursion, and database modeling (ERD, relational schema, DDL/DML), strengthening foundational knowledge.

Led workshops on Git/GitHub, deployment, cloud fundamentals, and state management (Redux, Zustand), enhancing student proficiency in modern development workflows.

Guided students through the end-to-end development of a complete E-Commerce web application using the MERN/Next.js stack, ensuring practical project completion and readiness for real-world scenarios.

Provided technical checkpoints, live debugging, project mentorship, and one-on-one coaching, resulting in high student graduation rates and successful project deployments.

Built a fullstack application leveraging Next.js, TypeScript, Prisma, and Neon.tech, integrating Auth.js (Google & Facebook) for secure authentication and seamless user experience.

Integrated UploadThing for efficient file uploads and an OpenAI chatbot, significantly enhancing user interaction and platform functionality by 15%.

Designed and implemented pixel-perfect UIs from Figma using Tailwind CSS and Shadcn-UI, ensuring high visual fidelity and user experience across devices.

Deployed the application on Vercel, ensuring continuous integration and reliable production performance with 99.9% uptime.

Developed and integrated secure Google OAuth authentication, enhancing user onboarding efficiency and login experience for a growing user base.

Engineered real-time messaging functionality and implemented ephemeral 24-hour stories feature, boosting user engagement and retention by an estimated 15%.

Diagnosed and resolved critical bugs, improving both React frontend responsiveness by 20% and Django backend efficiency by 10%.

Successfully deployed the React frontend on Vercel and Django backend on Railway, ensuring scalable, reliable production environments with consistent performance.

Developed a pixel-perfect, responsive frontend using ReactJS, TypeScript, Tailwind CSS, and Shadcn-UI, accurately translating complex Figma designs into seamless user interfaces.

Architected and deployed a scalable backend with ExpressJS, TypeScript, and MongoDB, integrating Cloudinary for efficient file storage and management, reducing data retrieval latency by 10%.

Managed end-to-end deployment of both frontend and backend on Vercel, ensuring smooth CI/CD and reliable production performance with 99% uptime.

Designed and implemented an advanced employee monitoring system for over 500 employees, leveraging facial recognition and action recognition (Movinet-A5) models to enable intelligent activity tracking and management.

Developed a high-performance backend architecture in Python, optimizing scalability and system reliability for enterprise-level deployment, leading to a 25% improvement in data processing speed.