About Me
I am an AI/ML engineer with a strong academic background and hands-on experience in machine learning, computer vision, and natural language processing. My journey began at Alexandria University, where I studied Computer and Communication Engineering and explored AI through electives and online courses. I then earned my MSc in Artificial Intelligence (with distinction) from the University of Essex, where I collaborated with BT Group on an industry-focused thesis project.
After my MSc, I worked as an AI Trainer for Data Annotation, contributing to the development and labeling of datasets for real-world AI solutions. Over seven months in this role, my dedication and attention to detail stood out, and I was selected to qualify for a Data Scientist position. I am currently working as a Data Scientist, a role I have held for the past two months.
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