À propos de Achehboune
As Computer Vision R&D Engineer at Endoscopy and Computer Vision Lab, where I contributed to projects focused on medical image analysis and AI solutions. This experience allowed me to work with real-world medical data and develop practical pipelines used in research and experimentation.
My strengths include building end-to-end pipelines for medical image preprocessing, segmentation, and classification. I work with volumetric data (3D scans), ROI extraction, and mask alignment, ensuring clean workflows. I regularly implement and adapt state-of-the-art methods from research papers, and I am experienced in reproducing experiments and evaluating models.
I hold a Master’s degree in Advanced Machine Learning and multimedia intelligence and focus on delivering reliable, well-structured solutions for AI applications.
Arabe
Bilingue ou natif
Anglais
Capacité professionnelle complète
Français
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- EnCoVR&D EngineerSECTEUR MÉDICALfévrier 2025 - Aujourd'hui (1 an et 4 mois)Clermont-Ferrand, France
- Designed and implemented convolutional neural networks (CNNs) for extracting robust radiomic features from medical imaging data (CT scans).
- Built end-to-end data pipelines including preprocessing, normalization, and data augmentation to improve model generalization.
- Engineered and analyzed radiomic features to support predictive modeling tasks in medical imaging.
- Evaluated model performance using advanced metrics (R², MAE, validation curves), leading to iterative improvements in robustness and reliability.
- Contributed to experimentation workflows, including dataset exploration (EDA) and model benchmarking.
- 3D SMART FACTORYR&D Engineerfévrier 2024 - janvier 2025 (11 mois)Project: Adaptive Cognitive Assessment System for RecruitmentDesigned and implemented an NLP pipeline to extract and structure key information from candidate CVs.Built an adaptive assessment system that generates and evaluates personalized interview questions using LLMs (via Gemini API) and prompt engineering techniques.Developed an interactive web interface using Streamlit to deliver assessments and visualize results.Integrated CV analysis with dynamic question generation to support smarter, automated recruitment workflows.
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Formations
- Master's in Advanced Machine Learning andFaculty of Sciences Dhar El Mahraz2026Master's in Advanced Machine Learning and
- Bachelor's in Science and TechniquesFaculty of Sciences and Techniques of Errachidia2024Bachelor's in Science and Techniques