About Me

Mohamed Nourdine

Hello, I'm Mohamed

Senior Software Engineer with 7+ years of experience building scalable web applications, cloud solutions, and AI-powered systems.

  • Name :Mohamed Nourdine
  • Role :Principal Software Engineer
  • Location :Cameroon
  • Experience :8+ Years

Senior Software Engineer & AI Researcher

Co-founder of Henddu SAS | PhD Candidate in Computer Engineering

I am a passionate Full-Stack Developer and Cloud Architect with extensive experience in building enterprise-grade applications. My expertise spans across PHP (Laravel, Symfony), Python (FastAPI), React.js, Vue.js, and AWS cloud services. Currently pursuing a PhD in Computer Engineering with research focus on deep learning for medical imaging. I hold 5 AWS certifications and have led development teams at multiple organizations across Africa and Europe.

8+

Years Experience

5

AWS Certifications

7+

Projects Completed

2

Research Publications

MY 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

PHP

95%

LARAVEL

95%

AWS

90%

REACT.JS

85%

PYTHON

85%

Education

Academic background and continuous learning

2021 - Present

PhD Candidate

Computer Engineering

Konya Technical University Konya, Turkey
2024 - 2025

Executive Education

Business Strategy

HEC Paris Paris, France
2019 - 2021

MSc Computer Engineering

Computer Engineering

Konya Technical University Konya, Turkey
2013 - 2018

BSc Computer Engineering

Computer Engineering

Selçuk University Konya, Turkey

Research Publications

Peer-reviewed articles in AI and medical imaging

Journal of Medical Imaging and Health Informatics - 2024

Fully Automated Pell & Gregory Classification On Panoramic Radiographs Using Deep Learning

This study presents a fully automated deep learning approach for classifying impacted third molars according to the Pell & Gregory classification system using panoramic radiographs...

- 2023

Automatic Localization of Cephalometric Landmarks using Convolutional Neural Networks

Cephalometric analysis is a fundamental diagnostic tool in orthodontics and maxillofacial surgery. Manual landmark identification is time-consuming and subject to inter-observer va...

Get In Touch

I'm always open to discussing new projects and opportunities.

Location Yassa/Douala, Cameroon
Availability Open for opportunities

Connect With Me

Send a Message

Have a project in mind? Let's talk about it.