Freelancer profile translated to English.

Description

With 5 years of experience as a Product Owner within the R&D department of Rakuten Institute of Technology, I specialize in developing artificial intelligence products for e-commerce. My profile combines strong technical expertise in Machine Learning (MLops, ML Engineer) with a strategic product vision, enabling me to transform research innovations into concrete business solutions.

Passionate about innovation and the latest advancements in AI, I constantly stay updated with new technologies. My flexibility and curiosity allow me to adapt quickly to dynamic ML environments. I am looking for assignments where I can bring my dual expertise, technical and product, to create high-impact AI business solutions.

Although primarily a Product Owner, I enjoy touching new disciplines and do not hesitate to implement technical solutions myself when necessary. If your project requires someone flexible and proactive, do not hesitate to call on me; I particularly enjoy working in very dynamic environments.

I am embarking on the freelance adventure today to put this expertise to work on new projects and take on new challenges.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual
Japanese
Conversational
Spanish
Conversational

Workplace preferences

Can work on-site

Paris (up to 10km)

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 Agile Methodology Product Development 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
Pedagogy Research and Development Human Factors
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 Aeronautics Research and Development Integration Virtual Reality

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Generalist Engineer Degree
ENSAM - Arts et Métiers Paristech
2015
Engineer's degree
M2 - Bioengineering and innovation in neurosciences
ESCPI / Paris Descartes
2015
M2 - Master's degree

Certified Kubernetes Administrator
Linux Foundation
2015
Cloud Computing Docker Distributed Architecture Kubernetes
Professional Scrum Product Owner I
Scrum.org
2023
Agile Methodology Project Management Scrum Marketing Product Ownership

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Quentin Michal

Product Manager / ML Engineer

About Quentin

Experience

Machine learning product development based on research for e-commerce

Machine Learning Engineer

Debriefing station for flight missions (Helicopters / Commercial aircrafts)

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