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Quentin MichalQM

Quentin Michal

Product Manager / ML Engineer

€650/day
Paris, FR
8-15 years

Average response time: 1 hour

About Quentin

Avec 5 ans d'expérience en tant que Product Owner au sein du département R&D de Rakuten Institute of Technology, je me spécialise dans le développement de produits d'intelligence artificielle pour l'e-commerce. Mon profil combine une expertise technique solide en Machine Learning (MLops, ML Engineer) et une vision produit stratégique, me permettant de transformer des innovations de recherche en solutions business concrètes.

Passionné par l'innovation et les dernières avancées en IA, je reste constamment à jour avec les nouvelles technologies. Ma flexibilité et ma curiosité me permettent de m'adapter rapidement aux environnements dynamiques du ML. Je recherche des missions où je peux apporter ma double expertise, technique et produit, pour créer des solutions IA à fort impact business.

Bien qu'étant principalement Product Owner, j'apprécie de toucher à de nouvelles disciplines et ne rechigne pas à implémenter moi même des solutions techniques quand c'est nécessaire. Si votre projet nécessite quelqu'un de flexible et force de proposition, n'hésitez pas à faire appel à moi, j'apprécie particulièrement de travailler dans des environnements très dynamiques.
Je me lance aujourd'hui dans l'aventure freelance pour mettre cette expertise au service de nouveaux projets et relever de nouveaux défis.
  • English

    Native or bilingual

  • French

    Native or bilingual

  • Japanese

    Conversational

  • Spanish

    Conversational

Can work on-site
Paris (up to 10km)

Experience

  • Rakuten Institute of Technology (ML R&D department)
    Product Owner
    E-COMMERCE
    November 2019 - August 2024 (4 years and 9 months)
    Paris, France

    Machine learning product development based on research for e-commerce

    Project prospection to maximize ML research internal business impact
    Agile project management with regular clients' demonstrations, and vulgarization for clear communication

    A few projects
    • Product recommender system using internal embeddings and LLM (Clustering / RAG + ChatGPT, llama)
    • Automated item catalog data ingestion and quality improvement through ML models extracting structured attributes from unstructured text and images (Cross-attention + Multiheads model / LLM + Langchain)
    • Matching product images to caption (item variant) for an intuitive user navigation (CLIP based models)
    • Real time item data extraction for C2C UX pipeline, with lightweight and optimized models (Huggingface)

    Machine Learning Engineer

    CI/CD developments for the deployment of our services on various clusters (Kubernetes / Google Cloud Platform)
    Optimization of production models for near real time usage and increased throughput (Benchmarks / ML Compilation)
    Creation of APIs to ensure usability of our tools by the partners, along with demonstration frontends (FastAPI)
    Automated retraining pipelines for production models, triggered by data drift and user feedback
    • Database of over 20M items weekly processed, with new and fresh attributes visible on the Japanese website
    • Real time data prediction (<20ms) for the website’s end users features


    Machine learning External API integration Méthode agile Développement produit MLOps
  • Paris Descartes
    Master 2 Speaker : « Motor supplementation & human-machine interface » course
    MEDICAL
    September 2017 - September 2019 (2 years)
    External speaker for the M2 - Bioengineering and Innovation in Neurosciences

    Topics covered :
    • Simulation technologies
    • Modelling of the vestibular system to trick the perception
    • Experimental protocol for the study of mental workload


    Pédagogie Recherche et développement Facteurs humains
  • Thales Avionics (AVS) Training & Simulation
    R&D engineer
    AVIATION AND AEROSPACE
    January 2015 - January 2019 (4 years)
    Cergy, France

    Debriefing station for flight missions (Helicopters / Commercial aircrafts)

    Design of a system for the recording & analysis of pilots' behavior
    Development of eye tracking & head tracking solutions Video / Audio synchronization & recording for real-time & offline debriefing
    Modelling of cognitive workload signals based on experimental data (physiological / simulation data)
    Public product launch during a major international simulation event (I/ITSEC Orlando)
    Product Strategy Aéronautique Recherche et développement Intégration Réalité virtuelle

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Education

  • Diplôme d'ingénieur généraliste
    ENSAM - Arts et Métiers Paristech
    2015
    Engineer's degree
  • M2 - Bioengineering and innovation in neurosciences
    ESCPI / Paris Descartes
    2015
    M2 - Master's degree

Certifications

  • Certified Kubernetes Administrator
    Linux Foundation
    2015
    Cloud computing Docker Distributed Architecture Kubernetes
  • Professional Scrum Product Owner I
    Scrum.org
    2023
    Méthode agile Gestion de projet Scrum Marketing Product Ownership

Skill set

Categories