About 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.
French
Native or bilingual
English
Fluent
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- Université Paris Dauphine – PSLLecturer - Generative AI & AI in the Cloud - M2 IASDSeptember 2024 - Today (1 year and 9 months)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) - AzureMarch 2024 - Today (2 years and 3 months)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 / AWSNovember 2023 - March 2024 (4 months)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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Education
- Master 2 (M2), Mathématiques appliquéesÉcole normale supérieure Paris-Saclay2018Master 2 (M2), Mathématiques appliquées
- Master of Arts in StatisticsIndian Statistical Institute2017Master's degree, Statistics