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Experience
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2025 - Present Computer Vision Scientist
Pearl AI - Development of 2D and 3D vision models for dental imaging analysis (intraoral radiographs, panoramic X-rays, CBCT)
- Optimization of production diagnostic models, improving robustness, performance, and large-scale clinical adoption
- Product-clinical collaboration, translating research into concrete features with measurable impact on dental workflows
- Contribution to regulatory processes (FDA, CE, technical documentation) supporting safety and clinical efficacy requirements
- Large-scale inference deployment and integration, ensuring availability, controlled latency, and reliability for end users
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2024 Lead AI Engineer
Theodo Data & AI, Paris - Surgitec-Robotics - Developed 3D brain vessel segmentation and brain analysis models
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2021 - 2024 Deep Learning Engineer
Allisone.ai - Developed AI solutions for dental imaging
- Computer vision and medical image analysis
- Built production-ready deep learning models
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2021 (apr-oct) Research AI Engineer
Inria - 3D computer vision research
- Deep learning and Medical Imaging
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2020 Data Scientist
Société Générale - Data science projects in the banking sector
Teaching
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Present Deep Learning
Dauphine-PSL Tunis - Introduction to Deep Learning for BDIA Master students
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Present Deep Learning for Image Analysis
Dauphine-PSL Tunis - Computer vision and image analysis with deep learning
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Present Introduction to Deep Learning
Sorbonne Data Analytics - DU program - fundamentals of deep learning
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Present Introduction to Deep Learning
Datagong.io - Professional training in deep learning
Education
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2021 MSc Computer Vision and Medical Imaging (MVA)
ENS Paris-Saclay, France - Focus on computer vision, medical imaging, and deep learning
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2020 MSc Artificial Intelligence (IASD)
Université Paris-Dauphine PSL, France - Specialization in machine learning and AI
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2018 BSc Applied Mathematics
Université Paris-Dauphine PSL, France - Strong foundations in mathematics and statistics
Open Source Projects
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2025 YOLO v11 Open Source
- Clean, modular, Apache 2.0 licensed YOLOv11 implementation in pure PyTorch. Multi-task support for detection, segmentation, and pose estimation.
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2022 3D Teeth Mesh Segmentation
- Implementation of MeshSegNet for automated dental surface labeling (MICCAI 2022 Challenge)
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2021 Certainty Pooling for MIL
- Multiple Instance Learning implementation for breast cancer metastases detection
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2021 Chest X-ray Generative Models
- Denoising Diffusion Probabilistic Model for chest X-ray generation