À propos de Florian
Freelance LLM Engineer and Generative AI Lecturer at Paris Dauphine-PSL, with a background in mathematics (ENS-PSL, Dauphine, ISI Kolkata) and 7+ years in applied AI, from data engineering and NLP to production-grade LLM systems.
I operate with full-stack autonomy across Azure, AWS and GCP, delivering measurable ROI through RAG pipelines, agentic architectures, and structured LLM evaluation. I have built and deployed 5 production use cases for a CAC 40 energy company, including ReAct chatbots, document summarizers, NDA comparators, and information retrievers. I also designed and delivered a 2-day Generative AI training for 80+ employees.
Beyond production work, I am increasingly drawn to the deeper mechanics of how models learn: RL-based fine-tuning, specialised LLM training, and the intersection of language models with robotics and embodied reasoning.
Key expertise: RAG pipelines (reranking, self-query retrieval, async API), LangChain / LangGraph, LLM evaluation (LangFuse, RAGAS, DeepEval), Azure OpenAI, GCP Vertex AI, AWS, Terraform, Docker, Python, PyTorch.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Université Paris Dauphine – PSLLecturer - Generative AI & AI in the Cloud - M2 IASDseptembre 2024 - Aujourd'hui (1 an et 11 mois)Lecturer at Paris Dauphine-PSL (M2 IASD - Artificial Intelligence, Systems and Data).Designed and teach a full-semester Generative AI course: prompting techniques, Transformer architecture, RAG pipelines, agentic systems (ReAct, LangGraph), and LLM evaluation (LangFuse, RAGAS, DeepEval).Also taught AI in the Cloud (GCP x AWS) in 2024, establishing Google Cloud and AWS academic partnerships for free student compute resources.Topics covered: LLM fundamentals, fine-tuning, RAG, agentic architectures, LLM evaluation, cloud deployment on GCP Vertex AI and AWS SageMaker.
- OCTO TechnologyLLM Engineer - CAC 40 Energy Company (Suez) - Azuremars 2024 - Aujourd'hui (2 ans et 5 mois)Full-stack LLM Engineer (freelance mission via Octo Technology / Accenture) for a CAC 40 energy company (Suez) on Azure.Full autonomy from Terraform & Azure infrastructure to frontend delivery and LLM monitoring.Key achievements:- Built 30+ Generative AI POCs across HR, Research, Legal and Marketing departments- Use cases: ReAct chatbots, document summarizers, NDA comparators, information retrievers- RAG pipelines with reranking, self-query retrieval and async API calls- 5 use cases promoted to production- LLM API Management (APIM) layer for token governance and data privacy- Delivered 2-day Generative AI training for 80+ employeesStack: Azure OpenAI, LangChain, LangGraph, LangFuse, RAGAS, DeepEval, Terraform, Azure App Service, Azure DevOps, Python, Docker
- OCTO TechnologyLLM Engineer - CAC 40 Wines & Spirits Company (Pernod Ricard) - Azure / AWSnovembre 2023 - mars 2024 (4 mois)LLM Engineer (freelance mission via Octo Technology) for a CAC 40 Wines & Spirits company (Pernod Ricard) on Azure and AWS.Built a production RAG chatbot deployed on Microsoft Teams using GPT-3.5 Turbo, Ada 2, Azure App Service and PostgreSQL.Key achievements:- LangChain pipeline with reranker, merge retriever and prompt engineering- Hexagonal architecture for clean separation of concerns- Achieved -45% reduction in Level 1 IT support tickets- Azure and AWS cloud infrastructure (App Service, PostgreSQL, S3)Stack: Azure OpenAI (GPT-3.5 Turbo, Ada 2), LangChain, PostgreSQL, Azure App Service, AWS, Python, Microsoft Teams Bot Framework
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Formations
- Master 2 (M2), Mathématiques appliquéesÉcole normale supérieure Paris-Saclay2018Master 2 (M2), Mathématiques appliquées
- Master of Arts in StatisticsIndian Statistical Institute2017Master's degree, Statistics