Soultan Nurain

Built and trained machine learning models for natural disaster detection and monitoring, covering hazards such as floods and hurricanes, using tabular data and satellite images. Developed evaluation scripts to assess and benchmark model performance across different disaster detection tasks. Preprocessed tabular and satellite image data, including cleaning and handling missing values, normalization/scaling, image resizing, train/test splitting, and feature engineering.

Machine Learning Intern at National Authority for Remote Sensing and Space Sciences (NARSS) (2025-08 – 2026-03)

• Built and trained machine learning models for natural disaster detection and monitoring, covering hazards such as floods and hurricanes, using tabular data and satellite images.
• Developed evaluation scripts to assess and benchmark model performance across different disaster detection tasks.
• Preprocessed tabular and satellite image data, including cleaning and handling missing values, normalization/scaling, image resizing, train/test splitting, and feature engineering.
• Designed and implemented a RAG (Retrieval-Augmented Generation) system for domain-specific question answering.
• Fine-tuned large language models (LLMs) for use in retrieval-based and rephrasing pipelines.

Bachelor of Science in Information Technology - The AI Department – Misr University For Science & Technology (2026-06)