Freelancer profile translated to English.

Description

AI Engineer at Société Générale CIB, I work on an ML platform used by several dozen applications, with around 100,000 monthly predictions.

I help companies transform their generative AI POCs into truly production-ready solutions: RAG documentary assistants, AI agents connected to the IS, secure AI APIs, monitoring, evaluation, and cost optimization.

I am particularly effective in demanding environments: banking, insurance, healthcare, large corporations, complex IT systems, security, scalability, and compliance constraints.

My main expertise:

- GenAI: LLM, RAG, AI agents

- Data pipeline design

- Production model deployment

- APIs and integration into existing systems

Typical missions:

-RAG/GenAI Audit— 2 to 5 days

Architecture analysis, retrieval quality, prompts, security, costs, monitoring, prioritized recommendations.

-Documentary Assistant MVP— 2 to 6 weeks

Document ingestion, vectorization, hybrid search, API, simple interface, evaluation.

-LLMOps Industrialization— 1 to 3 months

API, CI/CD, monitoring, testing, automatic evaluation, Kubernetes scalability.

Technical Stack:

Python, FastAPI, LangGraph, FAISS, Milvus, Kubernetes (GKE, AKS), Azure OpenAI

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 10km)

Société Générale - CIB
AI & Machine Learning Tech Lead
BANKING AND INSURANCE
July 2021 - Today (4 years and 11 months)
Paris, France
Design and industrialization of artificial intelligence solutions in production within an international banking environment.

Technical lead of an internal machine learning platform enabling the deployment and operation of large-scale models (several dozen applications, ~100,000 monthly predictions).

Involvement in:

- Development of data processing pipelines (batch and real-time)
- Deployment and orchestration of ML models
- Integration of generative AI solutions (LLM, RAG)
- Design of APIs for business applications
- Close collaboration with business teams to identify and implement use cases
LLM RAG FastAPI Kubernetes AI Agents
Juisci SA
AI Engineer
HEALTH AND WELLNESS
February 2021 - April 2026 (5 years and 2 months)
Paris, France
Design and development of data and artificial intelligence solutions for personal projects and freelance missions.

Implementation of a complete RAG pipeline:

- Document ingestion and transformation
- Vectorization and search (Milvus – Zilliz Cloud)
- Orchestration via LangGraph
- Exposure via APIs

Deployment of scalable services on Kubernetes (GKE) and development of full-stack applications integrating AI functionalities.
RAG LLM Kubernetes FastAPI NestJs
Carbon IT
Full-Stack Developer & Data Engineer
DIGITAL AND IT
June 2018 - June 2021 (3 years)
Paris, France
Long-term assignment at Société Générale Corporate & Investment Banking.

Development of web applications and data services in a modern technical environment:

- Front-end development (React, TypeScript)
- Back-end and API development (Python)
- Implementation of containerized solutions (Docker, Kubernetes)
- Participation in internal data projects and pipelines
Kubernetes NestJs React.js FastAPI