Belal Elshafei
Software Engineer & Back-End Developer
Top 5 Computer Science Graduate with a 3.84 GPA. Back-End Engineer & Competitive Programmer. Expert in C++, JavaScript, and Node.js. I turn complex algorithmic challenges into solutions with a focus on efficiency, reliability, and elegant system design.
Professional Experience
Working at the intersection of AI and customer experience.
Software Engineer - Full-Stack Developer
Appout ITS
May 2025 - Dec 2025Project: RoboDesk
- Developed and maintained RoboDesk, an AI-powered omnichannel customer experience (CX) platform for enterprises — centralizing, automating, and scaling customer support operations.
- Implemented full-stack features across frontend (AngularJs) and backend (Node.js) for a production enterprise product.
- Collaborated in an agile team environment to deliver platform improvements.
Achievements
Recognition for excellence in computer science and competition.
Academic Merit
Top 5 CS Graduate
3.84 GPARanked in the top 5 of the Computer Science graduating class, demonstrating consistent academic excellence and technical mastery.
Az-SCENES 1st Place
Won 1st place in the Machine Learning track for the 5G Smart City project.
AUC MIE Finalist
Qualified for the AUC MIE Competition Final among top-tier engineering projects.
Technical Expertise
Bridging the gap between complex algorithms and scalable backend architecture.
Languages
Backend
Frontend
Databases
Featured Projects
A selection of my architectural and engineering work.
RoboDesk
Enterprise omnichannel customer support platform (Appout ITS). Centralizes and automates customer interactions across channels using AI to boost support efficiency at scale.
Task Management API
Developed a RESTful API featuring JWT authentication, Redis caching for performance optimization, and MongoDB compound indexing. Integrated Docker for containerization and Sentry for real-time error tracking, ensuring a scalable and observable system architecture.
5G Smart City (Graduation Project)
The project focuses on creating a smart city infrastructure by integrating a smart home, hospital, and garage. Leveraging AI and IoT technologies, I implemented a REST API to facilitate real-time control of the smart home via a mobile app. Won 1st place in the Machine Learning track at Al-Azhar University's Az-SCENES exhibition and qualified for the AUC MIE Competition Final.