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RAMADAN MOHAMEDRM
Open to opportunities

RAMADAN MOHAMED

@ramadanmohamed1

AI Engineer specializing in machine learning, computer vision, and LLM full-stack applications.

Egypt
Message

What I'm looking for

I’m looking for an AI/ML role where I can build deployable computer vision and LLM-powered full-stack applications, work closely with engineers, and deliver measurable impact—especially in healthcare AI or smart agriculture.

I’m an AI Engineer focused on applied machine learning, computer vision, medical AI, smart agriculture, robotics, and full-stack AI applications. As a Huawei-certified AI trainee and Springer-published researcher, I build practical, deployment-oriented systems—and back them with award-winning results across healthcare AI, AgriTech, optimization algorithms, and data-driven software.

Through hands-on internships and traineeships at ReNile, NVIDIA, and Huawei ICT Academy, I’ve worked on ML/DL workflows, data preprocessing, model optimization, and AI-assisted workflow design. My projects—like a VGG16-based plant disease detector, CNN-based brain tumor MRI classification with TensorFlow/Keras, and LLM/Prompt Engineering experiences—reflect how I like to operate: turn requirements into working components, evaluate carefully, and ship intelligent solutions.

Experience

Work history, roles, and key accomplishments

RC

AI Engineer Intern

ReNile Company

Mar 2026 - May 2026 (2 months)

Developed deployment-oriented ML/DL workflows, including data preprocessing and model optimization, to support applied AI implementation. Partnered with engineering and product stakeholders to translate requirements into working AI system components.

Education

Degrees, certifications, and relevant coursework

NU

New Mansoura University

Bachelor of Science, Computer Science - Artificial Intelligence

2022 - 2026

B.Sc. in Computer Science (Artificial Intelligence program) at New Mansoura University from Sep 2022 to Jun 2026.

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