Description

Ingénieur IA et CTO, spécialisé en vision par ordinateur et en développement backend python. Expérience complète du cycle produit : conception, développement, déploiement et gestion d’équipe. Expert Python, FastAPI, Pytorch, Kubernetes, GCP/AWS & React. Capacité à allier R&D, industrialisation et stratégie technique dans des environnements à forte contrainte d’innovation.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Trayvisor
CTO
EDITION DE LOGICIELS
avril 2022 - Aujourd'hui (4 ans et 2 mois)
Paris, France
Led 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
FastAPI Computer Vision Management CI/CD Kubernetes Gestion de base de données (SQL, NoSQL, etc.)
Trayvisor
ML Engineer
EDITION DE LOGICIELS
mai 2020 - Aujourd'hui (6 ans et 1 mois)
Paris, France
Built 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
FastAPI Deep Learning Machine learning Python