Description

I help companies design, build, and deploy AI solutions that deliver measurable business impact.

With 6+ years of experience turning ML models into production systems across industries (insurance, energy, manufacturing), I bridge the gap between data science and real-world operations.

My expertise includes:

- Tech stack: Python (pandas, numpy, scikit-learn, Streamlit, API design, ML libraries), Docker, Bash, SQL, Git (CI/CD).

- Delivery: Experienced in working within complex organizations — project delivery, timeline, reporting, and coordination with multiple stakeholders.

- Leadership: Former team lead managing 3 data scientists; strong communicator with a track record of presenting technical work to non-technical audiences.

Impact:

- Led deployment of a predictive maintenance solution from zero to 200+ plants and 50+ users, for a leading ciment manufacturer.

- Developed a Supply Network Risk application dedicated to supply chain planners for a leading medical device manufacturer (from 0 to 5 users).

- Automated medical selection process (40% automation rate) with Azure-based ML microservices for a leading french bank.

- Built and deployed ML solutions for major insurers to automate document processing of insurance contracts and legal clauses.

Research & innovation: PhD in Statistics & Mathematics, open-source contributor (e.g. data drift detection), Kaggle Expert, and active in quantitative trading research.

Methodology:

I start from concrete business needs, prioritize high-value use cases, and iterate feature by feature to deliver production-ready solutions.

Currently available for freelance missions in AI product development, applied machine learning, and quantitative modeling.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Freelance
Freelance AI Engineer & Researcher
January 2025 - Today (1 year and 5 months)
Paris, France
Freelance: Providing services in data science and machine learning, focusing on predictive modelling, AI applications, and analytics. Leveraging prior experience in data science and AI projects for global clients (more info in my bio).

Side project: Developing and deploying automated trading strategies, from quant research to production-ready systems.
C3 AI
Senior Data Scientist
SOFTWARE PUBLISHING
April 2022 - October 2024 (2 years and 6 months)
Paris, France
Key responsibilities:
- Delivered Data Science projects as both individual contributor and team lead
- Designed and implemented new ML features tailored to client needs
- Reported project progress and outcomes to internal and client stakeholders
- Mentored and supported junior team members in their growth

Typical projects are long-term collaborations with Fortune 500 companies, including:
- Deployment of C3 AI Predictive Maintenance application for a major cement producer, improving asset reliability and reducing downtime
- Development of a Supply Network Risk application for a leading medical device manufacturer, predicting supply chain delays and enabling proactive mitigation
Zelros 3 ans
Lead Research Scientist
BANKING AND INSURANCE
November 2021 - April 2022 (5 months)
Paris, France
- Medical selection for credit insurance and monitoring (metrics, distributions of X & y, data drift, continuous integration, continuous improvement of the model), in production ML (tools: Docker, Flask, Jenkins, Azure, github, Airflow)
- open source our research project for data drift detection and mitigation: https://github.com/zelros/cinnamon
- Semantic search engine: sentence embedding (sentence-transformers, Siamese network, pretrain models).
- Research topics in NLP: related to QA and search engine (transformers, question answering, question generation, large model training with T5, BERT, BART). Responsible of Zelros contribution to the LinT0 project.
- ML explanability, Responsible AI: focus on Consistent AI (outlier detection, confidence
score, confidence & prediction intervals, counterfactual examples, causality). Integration of some responsible AI features in Zelros autoML.
- Beneficiary clauses (automation of the processing of clauses): entity recognition (spaCy, Flair),
data labelling (doccano), heuristics, industrialization with API (Flask).
- Participate to Data science Olympics organization
- Technical communications (autoML, model explanability)

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Doctor of Philosophy - PhD
Université Pierre et Marie Curie
2019
Doctor of Philosophy - PhD
Master's degree in
École normale supérieure de Rennes
2015
Master's degree in