# Ahmed Mohamed Gaber - Computer Science & AI Student | Backend & AI/ML Developer
Source: https://hello.cv/ahmedmohamedprofile
Alexandria

## Links
- GitHub | https://github.com/Sleepyamg
- Email
- Phone

## About
Highly motivated Computer Science & AI student (graduating 2026) with robust foundational expertise in AI, NLP, and scalable backend development. Proven ability to fine-tune transformer models, architect Node.js-based solutions, and integrate IoT systems, including recent work on designing and deploying a 3PL logistics platform. Eager to leverage strong problem-solving and technical skills to contribute to innovative software engineering projects.

## Education
### Alexandria University | Computer Science & Artificial Intelligence

## Skills
### Programming Languages
- Python
- C++
- JavaScript
- SQL
### AI & Machine Learning
- Machine Learning
- Deep Learning
- NLP
- Transformers
- LLMs
- Word Embeddings
- RNNs
- LSTMs
- GRUs
### Backend Development
- Node.js
- Express.js
- REST APIs
- Authentication & Security
- JWT
- OAuth
- Microservices Architecture
### Databases & ORMs
- MySQL
- MongoDB
- Sequelize
- Mongoose
### Tools & Technologies
- Git
- Linux
- Firebase
- ESP32
- IoT Sensors
- HTTP
- Deployment
### Soft Skills
- Problem-solving
- Communication
- Fast Learner

## Projects
### Emdadd 3PL Logistics Platform
Currently designing and developing the core architecture, authentication, database, and deployment strategy for a comprehensive 3PL logistics platform, integrating essential features for operational efficiency.
### Sraha App Backend (Route Training Project)
Architected and developed a secure and scalable backend for a social messaging application during an intensive training program.
### ESP32-CAM Image Upload Server
Developed and deployed a standalone HTTP server on an ESP32-CAM for remote image capture and upload functionalities.
### Real-Time IoT Systems
Built and deployed real-time IoT systems, integrating microcontrollers with cloud services and physical sensors for interactive applications.
### Fake News Detection with DistilBERT
Developed an AI solution leveraging transformer models to accurately classify news articles as authentic or fake.

## Source
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