-
May 2025 - Present
Part-Time R&D Machine Learning Specialist
Mazaady
Cairo, Egypt
Created and proposed 3+ research ideas weekly. Developed a full production-ready ML system independently. Fine-tuned the model, optimized it for speed and mobile, and dockerized the solution. Wrote full API documentation for deployment readiness. Took initiative even when tasks weren't explicitly assigned, showing autonomy and forward thinking. Balanced this job with university studies at FCAI Cairo University.
-
2024 - Present
Artificial Intelligence Tutor
GDG MA & DSC CAIRO
Maadi, Egypt
Delivering comprehensive AI/ML education and training sessions for diverse audiences. Specializing in breaking down complex machine learning concepts into accessible, practical knowledge. Conducted workshops on deep learning, computer vision, and MLOps, helping professionals and students build production-ready AI solutions. Focus on hands-on learning with real-world applications and industry best practices.
-
2019 - Present
Kaggler
United with AI freinds from Sudan!
Cairo, Egypt
After connecting with some incredible friends from Sudan, I began collaborating with them in Kaggle competitions.
2019 - Present
Kaggler
-
2023 - 2024
Flutter Devoloper & Ethical Hacker
Self-learning
Online
That was the peak period of my life, where I explored a wide range of fields, from Flutter development to the fascinating world of CCNA and network administration.
-
2020 - 2021
Self-learning
Inkscape
Remotely
In 2020-2021, I explored graphic design, and while it was a valuable experience, I realized it wasn't the right fit for me.
2020 - 2021
Graphic designer
-
2020 - 2021
Software Engineer
Egypt's National Software Engineering Contest
Giza, Egypt
I successfully initiated the development of "Malom", an AI-driven Optical Character Recognition solution aimed at assisting researchers. Despite facing numerous technical challenges, our perseverance paid off, earning us fourth place nationally. A standout moment of the journey was presenting our work to senior leaders at the Ministry of Education. For the app's graphical user interface, we utilized Tkinter (Python) alongside a CNN model for enhanced functionality.