Experience & Research

Student Assistant

• Assisted in Structure Programming and Object-Oriented Programming (OOP) classes.

AI and Data Science Trainee (Microsoft ML Engineer Track)

• Engineered end-to-end data pipelines and trained machine learning models using Python, applying advanced preprocessing and visualization techniques.
• Designed deep learning solutions focusing on Natural Language Processing with attention models and Computer Vision.
• Streamlined model deployment and tracking utilizing Azure AI, Hugging Face, and MLflow as part of a comprehensive capstone project.

Research Assistant

• Conducting Research with Dr. Mohamed Abdelrahman on developing Speech Emotion Recognition (SER) and Facial Emotion Recognition (FER) systems, leveraging deep learning architectures and multimodal fusion for robust classification.

Game Development and Reinforcement Learning Trainee

• Designed immersive game environments with 3D modeling and gameplay mechanics.
• Integrated RL agents within custom simulations, optimizing agent performance via Python workflows.
• Analyzed agent behavior using reward curves and policy metrics to drive improvements.

Object-Oriented Programming (OOP) Trainee

• Completed advanced Java training, enhancing programming proficiency.
• Developed Grand Egyptian Museum (GEM) management system with a chat room, demonstrating practical application of OOP concepts.

SkyVision: A Real-Time Sensor Fusion Pipeline for Autonomous Drone Swarm Navigation in Disaster Response.

Developing a WavLM+HuBERT fusion architecture for cross-lingual Arabic speech emotion recognition