Freelancer profile translated to English.

Description

I am Michel, a Senior Data Scientist / Machine Learning Engineer with 8 years of experience, at BNP Paribas for Information Extraction by LLM (LLMOps), at the startup Qantev for fraud detection, at GoPro in Computer Vision, and at the Ministry of Health in the Covid Task Force.

I am a graduate of the Ecole Polytechnique, and the MVA Master's program from the Ecole Normale Supérieure de Cachan, the most prestigious AI Master's in France.

I can support you on your Machine Learning (ML), Deep Learning, Data Science, Natural Language Processing (NLP), and Computer Vision (CV) projects.

My personal goal is to provide tailor-made Artificial Intelligence solutions, adapted to the specific needs of each client, while maintaining a pragmatic and results-oriented approach. My approach involves collaborating closely with my clients, ensuring transparent communication.

Languages

French
Native or bilingual
English
Native or bilingual
Chinese
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

BNP Paribas
Senior LLM Engineer
BANKING AND INSURANCE
August 2025 - December 2025 (4 months)
Paris, France
Information extraction from banking documents.
Building and Deployment of a KYC LLM model. Productionization. NLP, LLMOps.
BNP Paribas recommendation available below on my profile.
LLM LLMOps GenAI NLP Information extraction
SORBONNE UNIVERSTÉ
GenAI Trainer
EDUCATION AND E-LEARNING
April 2025 - July 2025 (3 months)
Paris, France
My trainees gave the training a score of 9.5/10, demonstrating the quality of the content and the learning experience.

My trainings:

- How to create added value in business with LLMs?

- LLM Creation: architecture, training, and fine-tuning

Each training is designed in two versions: one for technical trainees and one for non-technical trainees, allowing everyone to actively contribute to a GenAI project.
GenAI LLM Project Management Business analysis
Qantev
Senior Machine Learning Engineer / Data Scientist
BANKING AND INSURANCE
November 2024 - March 2025 (3 months)
I worked in the fraud detection team, where I reduced the false positive rate in customer alerts, saving them a lot of time.
I also raised a new alert to detect duplicate or "near-duplicate" health invoices, resulting in significant savings for the client.
I finally created a mapping between unstructured health invoice scans and structured data, simplifying the client's processes.
Recommendation from Qantev's CTO available below on my profile
Pandas Python Machine learning LLMs Data science