Description

I help companies design, build and scale production-grade AI systems.

Over the last 15+ years, I have delivered machine learning and AI solutions for organizations including Sanofi, Chanel, Renault, Jellysmack and Prose, spanning Computer Vision, image processing, visual recognition systems, recommendation systems, optimization, machine learning platforms and more recently Generative AI and LLM-based applications.

My expertise covers the full lifecycle of AI products: from problem framing and model development to production-grade deployment, cloud infrastructure, real-time inference systems, monitoring and continuous improvement of machine learning systems in production.

I have strong experience in Computer Vision systems, including image processing, OCR, object detection, segmentation and real-time vision applications, as well as large-scale machine learning platforms and GenAI systems for enterprise use cases.

I also bring leadership experience as former Head of AI at Prose, where I defined AI strategy, led engineering teams and worked closely with executive stakeholders on AI-driven product development.

My background combines a PhD in Physics, hands-on engineering experience and a strong focus on delivering measurable business impact through AI systems in production.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 30km)

Sanofi
Senior Machine Learning Engineer
HEALTH AND WELLNESS
July 2025 - Today (1 year and 1 month)
Paris, France
Member of Sanofi's GenAI team, building production-grade AI systems that combine Computer Vision techniques, machine learning and LLM-based architectures to transform large volumes of unstructured enterprise data into scalable AI products.

Key contributions include:
Designed and built an end-to-end document intelligence and image processing pipeline processing millions of enterprise documents (PDF, DOCX, XLSX, PPTX), combining OCR, layout analysis and structured information extraction
Developed multi-stage AI pipelines integrating computer vision and LLM techniques for document understanding, metadata enrichment, semantic indexing and retrieval systems
Applied LLMs and VLMs to structure and enrich unstructured data, enabling enterprise-scale knowledge extraction and multimodal understanding
Built reusable GenAI and AI agent frameworks on AWS Bedrock, enabling internal teams to rapidly develop production applications
Developed and deployed production AI agents for knowledge discovery, research analysis and enterprise collaboration use cases
Implemented evaluation and monitoring frameworks to improve robustness and reliability of large-scale AI systems
Collaborated with product, platform and research teams to transform AI capabilities into production-ready systems
LLM AI Agents Generative AI Amazon Web Services Computer Vision
Prose
Head of AI
FASHION AND COSMETICS
November 2024 - June 2025 (7 months)
Paris, France
Led the AI team responsible for Prose's core personalization platform, powering AI-driven product recommendations and ultra-personalized haircare and skincare formulations at scale.

Key contributions included:
Led the development and evolution of large-scale machine learning systems driving personalized product recommendations and formula generation
Maintained and improved AI services handling hundreds of thousands of production requests every day
Defined the AI roadmap supporting a business generating approximately $200M in annual revenue
Drove experimentation through A/B testing, analytics and data-driven product optimization
Improved engineering efficiency through tooling, process simplification and technical leadership
Worked closely with Product, Engineering and executive leadership to align AI strategy with business objectives
Managed, mentored and grew the AI team while promoting engineering best practices across the organization
Machine learning Python AI Strategy
CHANEL
Senior Machine Learning Engineer
LUXURY GOODS
October 2022 - November 2024 (2 years and 1 month)
Member of the Connected Experience Lab, building production-grade Computer Vision systems and AI applications for interactive luxury retail experiences.
Designed and deployed a proprietary real-time Computer Vision platform enabling marker-based detection and visual recognition directly within web browsers
Developed advanced image processing and computer vision applications, including segmentation and depth estimation models using state-of-the-art deep learning approaches, with hybrid edge and cloud inference for real-time performance
Built real-time visual recognition systems enabling interactive customer experiences in constrained retail environments, leading to a patent
Developed LLM-powered internal training tools for beauty consultants, turning enterprise knowledge into interactive learning systems
Bridged cutting-edge computer vision research and production deployment to create robust, real-time AI systems for end users
Pytorch Deep Learning Computer Vision Generative AI Edge AI

Check out Vincent's experience

Thierry

Thierry Templier

Reviewed on 07/03/2019

Vincent a su mettre à profit son expertise sur le machine learning / computer vision pour réaliser le prototype. Il a été très professionnel, les intéractions ont été très bonnes, a bien su communiquer et passer les connaissances à la fin des développements. Je recommande sans hésiter Vincent pour ce type de projets.

Fabrice

M. Anthony Diard, Sweesp SAS

Reviewed on 03/12/2018

Vincent a parfaitement rempli sa mission. Bonne connaissance des outils et l'ouverture nécessaire pour comprendre nos problématiques, je retravaillerai avec lui sans hésiter !

Show all 6 reviews