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.

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 20 km)

Sanofi
Senior Machine Learning Engineer
SANTÉ & BIEN-ÊTRE
juillet 2025 - Aujourd'hui (1 an)
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
MODE & COSMÉTIQUES
novembre 2024 - juin 2025 (7 mois)
Paris, France
Led the AI team powering Prose’s core personalization engine across haircare and skincare:
- Maintained and improved ultra-personalized formula computation, generating near-unique products for each customer
- Updated large-scale product recommendation systems
- Operated systems handling hundreds of thousands of AI-driven requests per day
- Defined AI roadmap aligned with a ~$200M/year revenue business
- Drove A/B testing, analytics, and data-informed product decisions
- Increased team velocity through simplification, tooling, and process improvements
- Acted as an internal AI evangelist, working closely with Product, Tech, and Business teams
- Partnered directly with C-level executives through regular 1:1s and leadership forums
Machine learning Python AI Strategy
CHANEL
Senior Machine Learning Engineer
LUXE
octobre 2022 - novembre 2024 (2 ans et 1 mois)
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

Consulter toutes les expériences de Vincent

Thierry

Thierry Templier

Avis laissé le 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

Avis laissé le 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 !

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