Freelancer profile translated to English.
Back to original languageAbout Geoffrey
As a Tech Lead in Generative AI for prestigious clients like LVMH, I leverage my expertise to help companies design, deploy, and optimize AI Agents used daily by hundreds of users.
I manage custom conversational AI agent projects end-to-end, from strategic definition to production, ensuring tailored, robust, and scalable solutions.
What I can offer you:
1. Needs Analysis and Definition: Clear and precise identification of business needs, structuring knowledge bases (Vector DB, Tools / MCP), exhaustive definition of use cases and conversational scenarios.
2. Appropriate Technology Choices: Rigorous selection of AI models, frameworks (Langgraph), and scalable, high-performance infrastructures (Vertex AI, Kubernetes).
3. Rapid MVP Deployment: Quick setup of functional prototypes to validate business and technological hypotheses, demonstrate added value, and facilitate adoption.
4. Industrialization and Scalability: Smooth transition to a production-ready solution integrating advanced logging, access management, security, and continuous performance optimization.
5. Monitoring and Continuous Improvement: Real-time performance tracking through automated (LLM as a Judge, Langfuse) and manual analyses, ensuring constant improvement based on user feedback.
🔧 Reference Technical Stack:
- Langchain, Langfuse, LiteLLM, Dataiku, GCP, Kubernetes
- LLM Models: Mistral, Gemini, OpenAI
- Open Source and French solutions
🌍 Continuous technological watch on market innovations (Azure, AWS, OpenAI Agent Framework, CrewAI, etc.).
No magic promises: my commitment is simple, realistic, and effective. Passionate about concretely solving your business challenges, I develop robust, reliable, and ready-to-use solutions.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Parfums Christian DiorTech Lead Generative AI | LLMOps & MLOpsOctober 2023 - Today (2 years and 8 months)Neuilly-sur-Seine, France- Tech Lead on 5+ Generative AI projects across LVMH Beauty and Perfume Maisons- Building technical blocks to support Generative AI projects- Building and maintaining the Dataiku Data Science platform- Tracking Generative AI trends to drive innovation.- Benchmarking and implementing LLM Agent best practices across LVMH Beauty and Perfume Maisons
- LVMHML Data EngineerFebruary 2022 - October 2023 (1 year and 8 months)Paris, FranceImplementation of a common platform for data management and machine learning model deployment for the group's Maisons. Based on Google Cloud, Kubernetes, and Dataiku.
- YSANCE part of devoteamML Data EngineerSeptember 2020 - February 2022 (1 year and 5 months)Paris, FranceOngoing project: Industrialize a marketing segmentation model (K-means) for Aquarelle using Google Cloud / Vertex AI, with a KubeFlow + TFX pipeline. Keywords: MLOps, CI/CD, Continuous Training, Kubeflow, TensorFlow, TFX, GKE, Python, Bigquery, GCP. Internship: Understand / Learn a technological foundation for the Data value chain (Data Integration, Data Engineering, Data Visualization, Data Science in a Cloud / Real-time and Agile environment).
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Education
- Master's degree in Big Data: Advanced Analytics for Decision Making, Data ScienceTroyes University of Technology2021Mastères spécialisés® Big Data : Analytics avancées pour la décision, Data Science
- Single Course: Machine Learning & Mathematics for microdata analysis, Computer ScienceBlekinge Institute of Technology2019Single Course: Machine Learning & Mathematics for microdata analysis, Informatique