Experience & Research
My professional journey, internships, and research publications.
Experience
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.
Undergraduate Teaching Assistant
- Assisted in Structure Programming and Object-Oriented Programming (OOP) classes.
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.
Publications & Research
Phantom Neurons: Why Magnitude Pruning Fails in Gated FFNs
Toutou, A., Fathy, B., Zain, A., Kamel, Y., Islam, A., Shalaby, A. — Under review at NeurIPS 2026
Adaptive WavLM-HuBERT Fusion Mechanism for Cross-Lingual Speech Emotion Recognition: English-to-Arabic Transfer Learning
Fathy, B., Islam, A., Zain, A., Elredeny, M., Abdou, M. — Under review at IEEE Trans. on Affective Computing 2026
HiGAT: Hierarchical Graph Attention with Battery-Aware Adaptive Attention for Multi-UAV Cooperative Task Offloading in Mobile Edge Computing
Manuscript in preparation
Comprehensive Survey of Multi-UAV MARL Systems
Manuscript in preparation