Freelancer profile translated to English.
Back to original languageAbout Sébastien
Passionate about high-value-added projects, I am committed to generating concrete impact.
Always at the forefront of technological advancements, I integrate the most relevant innovations.
Curious and rigorous, I constantly explore new challenges to co-create tailor-made solutions.
Agile freelancer, I combine AI expertise and business understanding to transform challenges into tangible results.
Medium:
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Nexa ForwardData EngineerTECHMay 2024 - Today (2 years and 1 month)Paris, FranceMissions
- Setup of a processing pipeline orchestrated in a Kubernetes pod, with Python scripts for data extraction, transformation, and loading.
- Secure management of secrets via AWS Secrets Manager and orchestration of different development environments.
- Use of AWS Lambda for automatic ingestion of databases into a MongoDB Data Lake.
- Integration of Kafka for real-time ingestion of data from APIs into transactional databases.
- Creation of a process to integrate Azure SQL into the pipeline, allowing direct feeding of Power BI dashboards with up-to-date data.
- Nexa ForwardData Scientist & AI Software EngineerTECHMay 2024 - Today (2 years and 1 month)Paris, France**Data Scientist & AI Software Engineer**, I support companies (Rexel, Groupama, Prova, ECF, Bpifrance) in the exploitation and automation of their data-driven processes.Missions
- Product Classification & Scraping: Design of ML models to automatically classify and segment Rexel product ranges from textual descriptions and documentary databases.
- Multi-level RAG for GenAI: Development of Retrieval-Augmented Generation workflows for an AI agent capable of writing financial/actuarial reports and filling out forms – Groupama, Prova, ECF projects.
- Text-to-Query (MCP): Natural language interface for formulating queries to business databases, with adaptive restitution (text, graphics, tables).
- AI Multi-format Parsing: Automatic structuring of PDFs, DOCX, PPTX, and images to enrich indexes and optimize RAG strategies.
- Automated Reporting: Agents for generating Excel charts, graphs, and analyses from raw unstructured data.
- On-premise LLM Deployment: Setup of an open-source model server to ensure the confidentiality of sensitive data.
Technical Skills- Languages & Frameworks: Python (pandas, scikit-learn, FastAPI), React
- Databases: MongoDB, SQL (PostgreSQL, MySQL), graphs (Neo4j…)
- Cloud & DevOps: Docker, Kubernetes, CI/CD, AWS, Azure
- BI & Visualization: PowerBI, Advanced Excel
- AI & NLP: Parsing, MCP, Function Calling, RAG (classic and graph), on-premise LLMs
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Education
- Engineer in Data & AIESILV - Léonard de Vinci Engineering School2023Big Data & IA (Data Science, Data Engineering, AI Engineer, Computer Vision, Gen AI)
- General training in Computer ScienceHanyang University2021