MEHDI HAJOUB
Hi, I’m Mehdi Hajoub, a Machine Learning & Image Analysis Engineer focused on medical imaging, model development, and statistical quality analysis.
About
Hi, I’m Mehdi Hajoub, a Machine Learning & Image Analysis Engineer focused on medical imaging, model development, and statistical quality analysis. I apply Python, computer vision, and quantitative methods to evaluate the stability and reliability of biological and clinical data, and I’ve deployed robust, reproducible pipelines in healthcare environments such as CHUV and Campus Biotech. I’m passionate about using AI to support diagnostic workflows, including segmentation, classification, stain monitoring, and imaging QC.
I thrive in interdisciplinary settings, translating clinical needs into scalable AI solutions and collaborating with clinicians, researchers, and engineers to drive impactful, validated deployments that improve patient care.
- 3 years' experience
- Joined February 2026
Skills· 15
Languages
- EnglishFluent
- Spanish; CastilianAdvanced
- FrenchFluent
- ArabicFluent
- GermanAdvanced
- ItalianBeginner
Industry experience
- Healthcare
- Life Sciences
- Software & Internet
- Education
- Professional Services
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Work experience· 11 roles
https://www.letenseur.com
Deployed graph neural network system for neurodegenerative disease classification (12 disorders, 600+ fMRI scans) serving 15+ researchers with 99.2% uptime and sub-2-second inference latency. Built automated retraining pipeline with Airflow and Docker, reducing update cycle from quarterly to weekly and preprocessing time from 72h to 4h through stability-based feature selection (60% storage reduction).
Education· 6
Robotics and Software
Computational Science
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