Turning complex data into intelligent, deployable solutions with AI, ML, and full-stack engineering expertise.
I am a Computer and Systems Engineering student at Ain Shams University (expected graduation June 2026) with a strong focus on Artificial Intelligence, Machine Learning, and full-stack system development. My journey blends academic rigor, hands-on projects, and industry training, giving me both theoretical depth and practical skills.
Through multiple programs—including the Digital Egypt Pioneers Initiative (Generative AI Track), Sprints Machine Learning Training, and various online certifications—I have gained experience in ML, DL, CNNs, NLP, and LLMs. I enjoy building end-to-end systems: from data preprocessing and model training to deployment using tools like Streamlit, Flask, and FastAPI.
My technical toolkit spans Python, C/C++, Java, SQL, and MongoDB, and I am also experienced in PyTorch, TensorFlow, and Scikit-learn for AI projects. Beyond AI, I’ve worked with embedded systems (Verilog, Embedded C) and explored cloud, CI/CD, Docker, and big data frameworks like Spark and Hadoop FS.
I value adaptability, problem-solving, and effective communication—skills I have sharpened through team projects, leadership roles, and personal initiatives. I thrive in collaborative environments and enjoy tackling challenges that push me to think creatively.
Outside of my technical pursuits, I like exploring new technologies, reading about AI advancements, and experimenting with small personal projects. I am fluent in Arabic and English, with beginner knowledge of German.
I’m motivated to leverage my skills in AI, data-driven problem solving, and system design to contribute to impactful projects and continue learning from every opportunity.
Work Terms
Hours of operation: Flexible, open to part-time or project-based work.
Payment terms: Milestone-based or hourly, depending on project scope.
Preferred communication: Clear, professional, and consistent—via email, chat, or scheduled calls.
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