Abdo Farag

Aspiring AI and Data Science professional with a strong focus on applying advanced technologies to real-world challenges. Experienced in machine learning, deep learning, computer vision, and natural language processing through internships and projects. Skilled in transforming data into actionable insights and developing intelligent models.

Proficient in Python, SQL, and leading AI frameworks including TensorFlow and PyTorch. Currently pursuing a Bachelor's degree in Artificial Intelligence (expected 2027) with a commitment to continuous professional growth.

AI Trainee at ITI Summer Code Camp (2025-07 – 2025-08)

• Gained hands-on experience in machine learning and computer vision.
• Worked on AI projects applying Python, TensorFlow, and Scikit-learn.
• Collaborated with peers to develop end-to-end AI models and deploy solutions.

Computer Vision Intern at National Telecommunication Institute (NTI) (2025-06 – 2025-08)

• Built and trained CNN/ANN models for image classification, object detection, and segmentation.
• Applied preprocessing, feature extraction, face recognition & verification.
• Worked with ResNet, DenseNet, and transfer learning on real datasets.

Data Science Intern at Digital Egypt Pioneers Initiative (DEPI) (2024-09 – 2025-07)

• Worked with Oracle databases and large datasets.
• Applied ML models with Scikit-Learn, visualized data trends using Seaborn.
• Cleaned, transformed, and exported data for business insights.

B.Sc. in Artificial Intelligence – Minufiya University (2023 – 2027)

Internship in Computer Vision – National Telecommunication Institute (NTI) (2025-06 – 2025-08)

Internship in Data Science – Digital Egypt Pioneers Initiative (DEPI) (2024-09 – 2025-05)

Course in Computer Vision – Information Technology Institute (ITI) (2024-10)

Track in Machine Learning – National Telecommunication Institute (NTI), Digital Egypt Youth (DEY) – Creativa Innovation Hubs