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Yohann L.YL

Yohann L.

Senior FastAPI & ML Engineer | Hands-on CTO

€700/day
Toulouse, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Yohann

Python/FastAPI and ML Engineer with 5+ years of production experience. I design high-performance APIs, real-time computer vision pipelines, and the infrastructure that runs them (Kubernetes, GCP, CI/CD, monitoring).

As CTO at Trayvisor, I led the entire technical chain of a food recognition system — from ML prototype to production service used daily. I am also comfortable with backend architecture, deployment, and technical framing for a small team.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Trayvisor
    CTO
    SOFTWARE PUBLISHING
    April 2022 - Today (4 years and 4 months)
    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 CI/CD Management Kubernetes Database Management
  • Trayvisor
    ML Engineer
    SOFTWARE PUBLISHING
    May 2020 - Today (6 years and 3 months)
    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

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Education

  • Engineering Degree
    IMT Mines Alès
    2019

Skill set

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