About Pierre
🙋‍♂️ Hello!
Generative AI
- Chatbots on confidential data
- Database enrichment
- Content generation
- Content improvement
- Automation of sending / creation / generation of emails
Data Analysis
- Data clustering (Unsupervised learning)
- Performance calculations, KPIs
Data visualization
- Trend analysis
- KPI representation
Mastered Tools
- Langchain
- Python, Pandas
- scikit-learn
- PowerBI
- AWS Services (Amplify, Lambda, Cognito, DynamoDB, API Gateway, etc.)
- Azure Service
- Zapier / Make / n8n
- PostgreSQL
- Firebase
- Supabase
- Streamlit
- Javascript, Typescript
- React / Node.js
- Adobe Illustrator
French
Native or bilingual
English
Fluent
Spanish
Conversational
Experience
- ChatLegalIACreation of AI agents for legal writing assistanceLEGALMarch 2025 - May 2025 (2 months)Paris, FranceAs part of this project, I designed AI agents capable of automatically identifying the most relevant legal sources for a given domain, then integrating these references coherently into generated legal documents.The architecture relies on a Flask API coupled with an ElasticSearch search engine, utilizing a hybrid search strategy combining keywords and vector embeddings. This approach maximized the accuracy of results, even in complex and specific legal contexts.I also conducted a benchmark of several LLMs to identify the one offering the best compromise between textual coherence, relevance of cited sources, and performance on real-world use cases.
- Elevio GroupAI Solutions DeveloperPHARMACEUTICALS INDUSTRYMarch 2025 - Today (1 year and 3 months)Paris, FranceDesigning and implementing AI-powered solutions. Leveraging LLMs to support Elevio Group strategies.Contributing to data-driven innovation in life sciences through close collaboration with internal team.
- Entreprise de développement personnelA RAG chatbot for a digital playerHEALTH AND WELLNESSSeptember 2024 - February 2025 (5 months)Paris, FranceI am developing atrained chatboton my client's data so that it can converse with their users with the necessary knowledge. This structure is based on theRAG(Retrieval-Augmented Generation) technique, a very promising advancement in generative AI, the most effective for this objective in 2024.I am creating a clear user interface on top of this with conversation starter suggestions.I am using AWS lambda, OpenSearch, AWS Amplify, and PostgreSQL databases for the deployment of the backend and frontend.
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Education
- Engineering DegreeTélécom Paris2021Formation générale ingénieur Télécom Paris. Numérique, Développement. Spécialisations : - Sciences des données, Machine Learning, IA - Traitement de signal, séries temporelles, - Stratégie, innovation, marchés
- M2 IRENParis Dauphine2021Industries de réseau et économie numérique Capacités travaillées : - maîtrise des principes de fonctionnement des industries de réseau et de l’économie numérique. - analyse et méthodologies permettant de suivre des phénomènes en forte évolution, soit dans l’univers de la recherche et de l’enseignement supérieur, soit à des postes opérationnels dans les entreprises, les administrations, les regroupements de consommateurs ou d’utilisateurs, les institutions de la régulation.