Freelancer profile translated to English.
Back to original languageAbout Maximilien
Hello!
I am a Data Scientist specializing in MLOps & Generative AI. I design Artificial Intelligence solutions from A to Z.
From architecture design to algorithm selection, from development to production deployment.
Having worked in teams on complex industrial data pipelines (aerospace sector), and designed autonomous AI engines from scratch (processing millions of real-time requests), my expertise and certifications in Data Science allow me to ensure the smooth running of a Data project, make the right technology choices (LLM, RAG, Machine Learning), functionality, and properly plan the industrialization of your models.
I would be delighted to develop your next Artificial Intelligence solution.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- ArianeGroupData Scientist – Expert GenAI (RAG), Agentic AI & MLOpsAVIATION AND AEROSPACESeptember 2024 - Today (1 year and 11 months)Paris, FranceData Scientist - Expert GenAI (RAG), Agentic AI & MLOpsArianeGroup | Industrial DirectorateLeveraging complex industrial data and deploying cutting-edge AI for the space sector.Generative AI & NLP (RAG): Designing an intelligent response engine based on LLMs for technical documentation analysis. Implementing RAG (Retrieval-Augmented Generation) architectures with LangChain and vector databases.Agentic AI: Developing prototypes of autonomous agents for industrial decision support (cross-referencing production logs and IoT data for workflow optimization).MLOps & Industrialization: Architecting end-to-end data pipelines and deploying models in production via Dataiku. Using Docker and Airflow to ensure workflow robustness and monitoring.Innovation & Agility: Leading POCs (Proof of Concept) in "quick-win" mode to rapidly demonstrate the added value of AI on critical business use cases.Data Visualization: Designing interactive dashboards for presenting complex results to decision-makers in a transnational context.Technical environment:AI: Python, LLM, RAG, LangChain, NLP, Machine Learning (Scikit-Learn, PyTorch), XG Boost.Ops & Data: MLOps, Dataiku, Docker, Airflow, SQL, IoT.
- Silver IntelligenceFounder – Data Scientist | AI Engineer & MLOpsCONSULTING AND AUDITSJanuary 2023 - Today (3 years and 7 months)Paris, FranceFounder & Data Scientist | AI Engineer & MLOpsSilver Intelligence (Freelance Consulting)Assisting companies in deploying applied AI solutions and sovereign infrastructures.Agentic AI & Fraud Detection: Architecture and deployment of an "agentic" AI API for real-time financial fraud detection (<50ms latency). Processing over 283,000 transactions with autonomous decision-making via drift analysis (Z-Score).MLOps & Predictive Maintenance at Scale: Scaling a sovereign monitoring infrastructure for over 2,900 industrial units. 15% reduction in unplanned downtime through the industrialization of XGBoost/Random Forest models.GenAI & RAG Strategy: Consulting and implementation of Generative AI solutions to automate complex workflows and leverage internal knowledge bases (RAG).Reliability Audit & Data Integrity: Development of a proprietary audit system ensuring 95% detection accuracy by filtering sensor noise in complex environments.Certified Cloud & Big Data Expertise: Design of distributed and scalable data pipelines, supported by AWS Machine Learning Specialty and Databricks Data Engineer Professional certifications.Technical environment:AI & Agents: Python, FastAPI, XGBoost, LangChain (GenAI), Scikit-learn.Cloud & MLOps: AWS (Machine Learning Specialty), Databricks, Apache Spark, Docker.Expertise: Drift analysis, Predictive maintenance, Real-time API.
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Certifications
- BM Badge: Python for Data ScienceIBM2024
- Harvard Data Science Courses: Python & Machine LearningHarvard University2024