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Nicolas MitchellNM

Nicolas Mitchell

AI Engineer | Agents/RAG/LLM - Production at Scale

€750/day
15 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Nicolas

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
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 10km)

Experience

  • 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

Reviews

4.7

Out of 9 ratings

MichelM

Michel

Cider

Reviewed on 4/6/2020

Nicolas proved to be responsive and dynamic. The script I requested fully meets our expectations.
ThibaudT

Thibaud

Vendre Mon Bien

Reviewed on 8/19/2019

Excellent service provider: efficient, responsive, and immediately understood our needs. We recommend without reservation.

Recommendations

Bruno PacciniBP
JG
Bruno Paccini and 1 other person have recommended Nicolas

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Education

  • General Engineer
    Télécom SudParis (Ingénieur)
    2015
    Enseignements avancés - Niveau Master - en Mathématiques, Informatique, Réseaux et Physique

Skill set

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