MEHDI HAJOUB

Available to hire

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

Languages

  • EnglishFluent
  • Spanish; CastilianAdvanced
  • FrenchFluent
  • ArabicFluent
  • GermanAdvanced
  • ItalianBeginner

Industry experience

  • Healthcare
  • Life Sciences
  • Software & Internet
  • Education
  • Professional Services

Work experience· 11 roles

AI Engineer · Le TenseurAug 2025 – Present · 1 yr 4 mos

https://www.letenseur.com

Web developer · StuduoFeb 2025 – Present · 1 yr 10 mos
Machine Learning Engineer Intern · Campus Biotech, GenevaJan 2025 – Present · 1 yr 11 mos

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).

Machine Learning Engineer Intern · Campus BiotechJan 2025 – Present · 1 yr 11 mos
Clinical ML & Data Pipeline Engineer · NeuroRestore (CHUV-EPFL), LausanneSep 2024 – Dec 2024 · 4 mos
Software Engineer · ResilientFeb 2024 – Present · 2 yrs 10 mos
AI Project Developer · EPFL AI Center, LausanneFeb 2024 – May 2024 · 4 mos
AI Project Developer · EPFL AI CenterFeb 2024 – May 2024 · 4 mos

Education· 6

Bachelor of Science · Ecole Polytechnique Féderale de Lausanne2019 – 2023

Robotics and Software

Master's Degree · Ecole Polytechnique Féderale de Lausanne2023 – 2025

Computational Science

Master of Science - Neuro-X · EPFL, Lausanne2023 – 2026
Bachelor of Science - Micro-engineering · EPFL, Lausanne2019 – 2023

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