About Me
Hello, I'm Mohamed
Senior Software Engineer with 8+ years of experience building scalable web applications, cloud solutions, and AI-powered systems.
- Name :Mohamed Nourdine
- Role :Senior Software Engineer
- Location :Cameroon/France
- Experience :8+ Years
Senior Software Engineer & AI Researcher
Co-founder of Henddu SAS | PhD Candidate in Computer EngineeringSenior Software Engineer with 8+ years of experience in full-stack development, cloud architecture, and IT infrastructure management. Extensive experience designing, building, and deploying production-ready systems across fintech, environmental technology, tourism, and education, with projects delivered in Africa, Europe, and Turkey. AWS 5× Certified Engineer with deep expertise in PHP (Laravel, Symfony), Python, React.js, and microservices-based architectures. Highly proficient in Linux server administration, network and cloud infrastructure design, and system integration, with a strong focus on performance, reliability, and scalability. Demonstrated leadership in managing cross-functional teams and delivering platforms serving thousands of users. PhD candidate in Computer Engineering at Konya Technical University in Turkey, co-author of two peer-reviewed publications on AI/ML applications in medical imaging. Startup co-founder (Henddu SAS) and graduate of HEC Paris Executive Education in Entrepreneurship. Combines deep technical excellence with rigorous research thinking and strong business insight.
8+
Years Experience5
AWS Certifications50+
Projects Completed2
Research PublicationsMY SKILLS
Full-Stack Development
Laravel, React, Vue.js, APIs
Cloud Architecture
AWS, Serverless, DevOps
AI/ML Solutions
Machine Learning, Computer Vision
Technical Consulting
Architecture Reviews, Mentoring
Education
Academic background and continuous learning
Research Publications
Peer-reviewed articles in AI and medical imaging
Fully automated Pell & Gregory classification on panoramic radiographs
This study proposes a fully automated deep learning system based on the U-Net architecture for classifying mandibular third molars using the Pell & Gregory method. Novel anatomical...
Read ArticleAutomatic Localization of Cephalometric Landmarks using Convolutional Neural Networks
Experts have brought forward interesting and effective methods to address critical medical analysis problems. One of these fields of research is cephalometric analysis. During the...
Read Article