À propos de Hélène
I help teams prototype fast, diagnose failing models and improve performance before production.
- rapid prototyping & proof of concept
- dataset analysis & model debugging
- performance improvement & architecture experiments
Ideal for teams needing technical reinforcement before industrialization.
🔍 Technical CV Audit & Model Diagnosis
When performance stagnates or results are unclear:
- dataset analysis & bias detection
- architecture & training review
- failure mode analysis
- targeted improvement strategy
📄 Deliverable: concise technical report + action plan.
⚡ Rapid Prototyping & Model Improvement
For early-stage or experimental work:
- quick POC pipelines
- architecture experiments
- dataset structuring
- performance iterations
📦 Deliverables: prototype models + experiments summary.
🛠 Technical stack: Python (PyTorch, TensorFlow/Keras, OpenCV, Scikit-Learn, Pandas/GeoPandas), Git, Docker, QGIS, CVAT, Blender.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 10 km)
Expériences
- MagelliumImage Processing Engineer and AI expert for Earth ObservationAÉRONAUTIQUE & AÉROSPATIALEseptembre 2023 - août 2025 (1 an et 11 mois)Toulouse, France
- Designed and trained deep learning models for semantic segmentation, regression, frame field learning, and uncertainty quantification on satellite imagery.
- Processed and analyzed multispectral Earth observation data (Sentinel, Pléiades, etc.) for environmental and cartographic applications.
- Contributed to research projects in collaboration with CNES and ESA.
- Worked on 3D scene geometry modeling and reconstruction from multi-view satellite images.
- MagelliumDeep Learging EngineerAÉRONAUTIQUE & AÉROSPATIALEavril 2023 - septembre 2023 (5 mois)Toulouse, France
- Contributed to the Absolute Localization for Planetary Exploration Rover project with the European Space Agency.
- Developed and trained a Siamese Neural Network to match images with different perspectives and radiometric conditions.
- Built the synthetic training dataset using Blender to simulate Mars terrain and rover camera views.
- Validated model performance and robustness across multiple environmental configurations.
- ShareIDComputer Vision EngineerSÉCURITÉ CIVILEjanvier 2022 - juin 2022 (5 mois)Paris, France
- Designed computer vision and deep learning algorithms to authenticate identity documents from live video streams.
- Developed visual content understanding pipelines for document feature extraction and classification.
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Formations
- Master's engineer degree, Data Science & Image ProcessingIMT Atlantique2023Master's engineer degree, Data Science & Image Processing
- Classe préparatoire aux grandes écoles, SciencesCamille Guerin High School2019Classe préparatoire aux grandes écoles, Sciences