Freelancer profile translated to English.
Back to original languageAbout Arnault
🔍 Data Scientist & AI / Machine Learning Engineer, 10 years of experience
💶 CII Approval: Benefit from a 20% tax credit on my services related to your R&D projects.
🧠 Specialties: NLP, AI, Data Science, Machine Learning, Deep Learning, Large Language Models (LLM / ChatGPT).
🌐 Experience: Edtech, Legaltech, Smart City, Greentech, Fintech, Medtech. Team lead.
🌟 Focus:
- Social Impact
- Modeling: R&D, PoC, Monitoring
- Management & Strategy
- Data Project Supervision.
💡 Expertise / Services:
- Classification and prediction
- Data visualization
- OCR / document transcription (digital documents)
- Text trend exploration
- Entity or information extraction in texts
- Customer churn detection
- Customer segmentation
- Image analysis
- Anomaly detection
- Dynamic pricing
- Time series forecasting
- Prompt Engineering
- LLM/ChatGPT adaptation / fine-tuning
🎓 Degrees: ENSAE Paris, Paris Saclay.
🌍 Remote work, available for travel. Weekly follow-up.
🌐 Recent clients: WHO, Silvr, World Bank, or Kalent AI.
English
Fluent
Spanish
Fluent
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- ChargeViz
On Malt
Clustering & Demand Forecasting: Electric Charging Price StudyENERGY AND UTILITIESMay 2026 - June 2026As part of a pricing study for a charging operator, I led the clustering and forecasting components, which provided the basis for recommendations on price changes to partner charging operators.Key achievements:- **Station Clustering**: Segmentation of stations after a completeness analysis combining structural features and unique temporal signatures for each station; business validation of clusters to avoid inconsistent groupings.- **Short-term Demand Forecasting**: Weekly session forecast at the station x power class level. Two complementary models: expert and global machine learning. - beta.gouv.frAI Engineer - Legal RAGLEGALSeptember 2025 - Today (11 months)Londres, United KingdomLegal RAG, LLM Agents & Production AI SystemsI participated in the design and deployment of an AI legal assistant platform for the Conseil d'État (Beta.gouv), combining LLM, retrieval augmented generation, and language model fine-tuning technologies.Key achievements of the Jacepair project:• Hybrid RAG Architecture — Search system combining BM25 sparse and dense embeddings with Reciprocal Rank Fusion, on a corpus of 1.6M+ laws and 110K+ court decisions.• Multi-source ingestion pipeline — Automated integration of LEGIFRANCE (codes, laws, decrees), ArianeWeb (administrative jurisprudence), and ConsiliaWeb (advisory opinions), with versioning and traceability of changes.• Intelligent extraction of legal references — LLM + regex system to automatically identify and structure citations of articles, laws, ordinances, and decisions in legal documents.• Multi-provider LLM abstraction — Flexible architecture supporting OpenAI, Mistral AI, and Albert (French sovereign LLM) via LiteLLM, with Pydantic validation for structured outputs.• Production-ready infrastructure — Docker Compose deployment with PostgreSQL/pgvector, Qdrant, async FastAPI, Streamlit, and optimized connection management (AsyncPG, pooling up to 50 connections).
- kwartoAI Engineer - Technical Document ExtractionMECHANICAL ENGINEERINGSeptember 2025 - September 2025Londres, United KingdomI carried out a mission as a Data Scientist / ML / NLP Engineer. The project aimed to implement a solution for extracting technical entities from PDF documents related to telecommunication installations.- Extraction of technical information from PDFs- Deployment of open-source LLMs on OVH- Implementation of an automatic extraction evaluation system (via MLFlow)- Development of the fine-tuning system- Development of the annotation/correction platform
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Education
- Engineer Statistician EconomistENSAE ParisTech2016Cours (Spécialisation) : • Machine Learning • Apprentissage par agrégation • Gestion de données massives • Programmation • Compressed Sensing • Méthodes séquentielles et chaînes de markov cachées • Méthodes statistiques pour l'économétrie • Econométrie Avancée pour les données qualitatives • Soundings • Modèles statistiques dynamiques avec variables cachées • Bootstrap & statistiques asymptotiques • Statistiques Bayesiennes • Machines Learning Avancée • Data Visualization. Cours (Deux premières années) : • Probability Theory • Advanced Statistics • Non-parametric Statistics • Time Series • Game Theory • Econometrics • Data Analysis • Monte-Carlo methods • Dynamic Optimization • Stochastic Calculus • Macroeconomics
- Master II - Quantitative Economics, specialization in decision theoryUniversité Paris-Saclay2016Cours : • Advances Econometrics for Qualitative Data • Semi Parametric and Non-Parametric Econometrics • Advanced Game Theory • Decision Theory • Monetary Economics • MacroFinance • Information, Transmissions and Communications in Games.