About Me

I am a passionate AI/ML engineer with a strong academic background and hands-on experience in developing real-world machine learning solutions. My interest in artificial intelligence began during my undergraduate studies in Computer and Communication Engineering at Alexandria University, where I actively pursued elective modules related to AI and completed various online courses to deepen my knowledge. This early curiosity evolved into a professional pursuit during my MSc in Artificial Intelligence at the University of Essex, where I graduated with distinction and worked on an industrial project in collaboration with BT Group.

Academic Background

MSc in Artificial Intelligence

University of Essex - School of Computer Science and Electronic Engineering

Thesis: "AI Labelling Assistant" - An industrial project in collaboration with BT Group
Grade: Distinction

Bachelor of Science in Computer and Communication Engineering

Alexandria University, Egypt

Research Focus

Retrieval-Augmented Generation (RAG)

Integrating large language models with external knowledge sources for more accurate and grounded outputs

Generative AI

Exploring applications of transformer-based models in content generation and task automation

Few-shot & Semi-supervised Learning

Developing models that learn effectively from limited labeled data

Natural Language Processing

Projects in sentiment analysis, text classification, and language understanding

Computer Vision & Image Processing

Including face recognition, object detection, and image classification

Speech Emotion Recognition

Detecting emotional states from audio using CNN-based architectures

Anomaly Detection

Monitoring system/network behaviors to identify unusual patterns

Time Series Analysis

Modeling and forecasting sequential data for predictive tasks

Professional Approach

I combine theoretical knowledge with practical implementation skills to create innovative AI solutions. My work focuses on developing scalable, efficient, and robust AI systems that solve real-world problems. I have experience in both industry and research settings, working on projects ranging from AI model development to data annotation and system optimization.