Fathi Mohamed

Machine Learning & AI practitioner specializing in deep learning, object detection, and data-driven predictive models. Experienced in building end-to-end pipelines and delivering impactful AI solutions across multiple domains.

Computer Vision Trainee at National Telecommunication Institute - NTI (2024-08 – 2024-09)

• Applied machine learning and deep learning techniques to build intelligent data analysis models.
• Focused on data preprocessing, model tuning, and evaluation to enhance system accuracy and efficiency.

AI & Data Science Trainee at Digital Egypt Pioneers Initiative - DEPI (2024-10 – 2025-06)

• Developed scalable ML pipelines and optimized large aviation datasets for flight delay prediction.
• Applied feature engineering and model selection to enhance prediction accuracy and deliver real-world AI-driven insights

Data Analysis Trainee at Information Technology Institute - ITI (2025-08 – 2025-09)

• Collected, cleaned, and analyzed datasets to extract actionable insights, and built dashboards and reports to support data-driven decision-making.
• Applied statistical techniques to identify trends and patterns

Machine Learning Trainee at Digital Egypt Pioneers Initiative - DEPI (2025-02 – 2025-06)

• Gained practical experience in ML, DL, NLP, Computer Vision, and data analysis, building predictive models and data-driven dashboards.
• Applied Python-based data preprocessing, visualization, and statistical techniques to deliver real-world AI insights

Bachelor in Computer Science and Artificial Intelligence – Beni suef national university (2022 – 2026)