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Mohamed lamine SayadMS
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Mohamed lamine Sayad

@mohamedlaminesayad

Full Stack Developer and Data Analyst, building AI-driven web experiences and insights.

Algeria
Message

What I'm looking for

I’m looking for an opportunity where I can use my web development and data analysis skills to build AI-focused products, contribute to an ambitious team, and grow through meaningful technical challenges.

I’m a Master’s student in Computer Systems and Decision-Making at Badji Mokhtar University in Annaba, passionate about web development and artificial intelligence. I combine modern front-end technologies like React, TypeScript, and Tailwind CSS with data analysis languages such as Python and SQL, and I’m driven by turning complex problems into clear, usable solutions.

I authored my graduation project applying deep learning to healthcare by building an “Intelligent Platform for Brain Tumor Detection.” I designed and developed a web platform for MRI image analysis, implemented a deep learning model for automatic classification and detection, created a React.js/TypeScript/Tailwind CSS user interface, and integrated a back-end API to connect image processing with the AI model—so the experience stays smooth and reliable. I’m now seeking an opportunity to bring my technical skills and analytical mindset to an ambitious team.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Badji Mokhtar University logoBU

Badji Mokhtar University

Master's Degree, Computer Systems and Decision-Making

2024 - 2026

Activities and societies: Graduation project: built a web platform for MRI-based brain tumor classification/detection using a deep learning model, with React.js/TypeScript/Tailwind UI and an API for image processing.

Master's student in Computer Systems and Decision-Making at Badji Mokhtar University (2024–2026). Completed a graduation project applying deep learning to healthcare for brain tumor detection from MRI images.

Tech stack

Software and tools used professionally

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