AI & ML Engineer | Computer Vision Engineer
"Data is a story waiting to be told or seen. Models bring it to life and give it a voice."
AI Engineer passionate about building intelligent systems that solve real-world problems, with a strong focus on computer vision and deep learning applications. Skilled in developing end-to-end AI solutions with a solid foundation in machine learning, data processing, and model development. Proficient in Python, C/C++, Java, SQL, TensorFlow, PyTorch, and web frameworks including Django, Flask, and Streamlit.
My journey in AI has been driven by a curiosity to understand how machines can perceive and interpret the world around us. I specialize in developing robust computer vision solutions for real-world applications, from object detection to image segmentation and classification.
I build end-to-end AI and computer vision solutions that transform complex real-world data into intelligent, scalable, and production-ready models.
2022 - 2026
Faculty of Computing and Artificial Intelligence, Cairo University
Majoring in Artificial Intelligence
12/2025 - 07/2026
Digital Egypt Pioneers Initiative
07/2025 - 09/2025
Cellula Technologies
Scan the work quickly, then open any card for a story, media, and the technologies behind it.
Turned satellite imagery into clean water masks for faster decision-making.
Helped clinicians review dental conditions faster with a simple prediction interface.
Built a Model capable of classifying seven teeth diseases and establishing a real-time UI using streamlit for instant predictions.
Highlights from my professional development and accomplishments. Click a certificate to expand it.
Provided in-depth training in supervised and unsupervised learning, feature engineering, model optimization, and performance evaluation, with hands-on experience in building, tuning, and deploying machine learning models using modern frameworks and real-world datasets.
Completed the AI Agents Orchestration Bootcamp, gaining hands-on experience in designing and implementing AI-powered solutions, with practical work using n8n and AWS.
Participated in qualifications of the International Collegiate Programming Contest (ICPC) ECPC 2024, demonstrating strong problem-solving and coding skills.
Completed Machine Learning Specialization on Coursera, by stanford and DeepLearning.AI. The specialization includes 3 courses provideing comprehensive knowledge in machine learning algorithms and applications.
Completed the Introducing Generative AI with AWS course, gaining insights into leveraging AWS services for generative AI applications.