About Théo
- **Dataset**: collection (scraping), preparation, and structuring (Python, S3, PostgreSQL).
- **Training**: development of ML / DL models (classification, segmentation, detection, OCR on documents)
- **Production & API**: integration via FastAPI, Cloud deployment (AWS, Docker)
- **Optimization & Scalability**: fast, robust models adapted to your production needs
- Solid training:EPITA + Berkeley(experience in a demanding and international scientific environment)
- End-to-end vision: from raw data to production model.
- Concrete results: reliable models usable in real conditions.
- **Pedagogy and clarity**: I explain each step simply, even for non-tech people.
French
Native or bilingual
English
Fluent
Experience
- ONEEXComputer Vision Engineer | Sovereign Identity VerificationTECHJanuary 2026 - Today (5 months)Paris, FranceDevelopment of a high-performance OCR solution for processing identity documents on CPU in 1s.
- Performance Optimization: Redesign of the OCR architecture, reducing inference time to 1s (from ~10s previously) on CPU via ONNX and OpenVINO.
- Edge AI & Sovereignty: Design of an entirely local processing pipeline (on-device/no-cloud), ensuring the total security of multispectral data (VIS, IR, UV).
- Industrial Scaling: Automation of classification and extraction for over 200 document types across 50 countries with real-time homographic alignment.
- FemnovComputer Vision for Real-Time Ultrasound | EndometriosisMEDICALNovember 2025 - December 2025 (1 month)Paris, FranceDevelopment of a real-time AI solution for analyzing ultrasound videos, dedicated to assisting in the diagnosis of endometriosis. Design of lesion detection and segmentation models on video streams with integrated tracking, and deployment in a containerized production API for clinical use.
- TessiExpert OCR Audit | Tessi (European Leader)DIGITAL AND ITOctober 2025 - November 2025 (1 month)Lyon, FranceConsulting with the technical management of Tessi, a European leader in document processing, on the evolution of their OCR engine.Audit of the existing architecture (preprocessing, OCR models, postprocessing), benchmarking against the state-of-the-art, and recommendations for the next generation of the platform.
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Education
- Computer EngineeringEPITA2024Machine Learning | Deep Learning | Computer Vision