About Yohann
French
Native or bilingual
English
Fluent
Experience
- TrayvisorCTOSOFTWARE PUBLISHINGApril 2022 - Today (4 years and 2 months)Paris, FranceLed all R&D and engineering efforts at Trayvisor as part of a 4-person tech team, from defining the technical roadmap to developing and delivering production-ready AI services for food recognition.Key responsibilities:
- Designed, developed and deployed APIs using FastAPI, managing database schema and business logic
- Scaled infrastructure on GCP using Kubernetes, CI/CD pipelines, and monitoring tools
- Developed computer vision and ML pipelines for real-time food recognition and calorie estimation
- Oversaw frontend development in React, and built internal tools for operations
- Integrated hardware and IoT components for camera-based health solutions
- Managed the full product lifecycle: from recruitment and interviews to backlog prioritization, QA, and delivery
- TrayvisorML EngineerSOFTWARE PUBLISHINGMay 2020 - Today (6 years and 1 month)Paris, FranceBuilt core AI systems for food recognition and nutrition analysis in tray-based self-checkout.Projects & Methods:
- Plate and food detection (EfficientDet, FasterRCNN)
- Few-shot learning for unseen meals and plate types
- Weakly-supervised semantic segmentation (UNet, SegFormer, YOLO)
- Self-supervised representation learning (DINO, BYOL) + custom triplet loss training
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Education
- Engineering DegreeIMT Mines Alès2019