Freelancer profile translated to English.

Description

Tech Lead ML Engineering/MLOps - AI Architect - 8yrs of experience

As an expert in data and AI, I am involved in all aspects of setting up an AI system, from design to production.

I am currently working at Doctolib as a Senior ML Engineer, deploying GenAI applications in production, including use cases like speech-to-text, chatbots, and Agentic AI applications.

As a Data & AI expert with 8 years of experience, I am involved in all aspects of implementing an AI system, from design to production.

I believe that the success of AI products depends on the adoption of lean and DevOps practices in the AI world.

Playground: MLOPs - LLMs - Gen AI - Python - Airflow - AWS - Terraform - Azure OpenAI

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Freelance
Tech Lead & Sr ML Engineer & MLOps
CONSULTING AND AUDITS
May 2025 - Today (1 year and 1 month)
Paris, France
As Tech Lead & Sr ML Engineer, I assist my clients and their teams in the development and production deployment of ML & AI applications, particularly agentic systems.

Key Projects:

- Currently developing an agentic chatbot for a client in the medical sector, designed to help address the challenges of medical deserts.
- Designing and leading a comprehensive training module on GenAI for AXA Group Operations.
Generative AI Tech Lead LLMs Python
Doctolib,
Sr ML Engineer & MLOps
HEALTH AND WELLNESS
July 2022 - May 2025 (2 years and 10 months)
92300 Levallois-Perret, France
With AI at the core of Doctolib's strategy to transform healthcare, I work within the ML Platform team. Our goal is to deploy AI solutions in production, ensuring their scalability and reliability. My contributions include:

**Consultation Assistant**: Generating a consultation summary from a conversation
- Designing the target architecture in MLP environments
- Developing the backend application using Python and FastAPI
- Deploying a self-hosted Speech-to-Text model (Whisper like)
- Deploying a summary generation module based on GPT.
**Personal Assistant**: reducing human intervention in handling support requests.
- Designing the target architecture in MLP environments based on RAG, then an agentic system.
- Developing the backend application using Python and FastAPI
- Deploying a VectorDB and an indexing pipeline
- Deploying a summary generation module based on GPT
Phone Assistant: Booking a consultation slot by phone
- Co-design based on an agentic system
Tools to facilitate AI application deployment: Providing tools to ease the production deployment of AI applications (CI/CD, production-ready application framework, infrastructure on EKS, python framework)
**Playground**: Python - AWS - EKS - ArgoCD - Terraform - Azure OpenAI - LLM - EKS - Triton Inference Server - vLLM
Azure OpenAI Triton vllm Python EKS
DILA
Tech Lead Ops & Cloud Engineer
PUBLIC SECTOR
September 2020 - August 2021 (11 months)
Paris, France
Deployment of the DILE project (Electoral Roll Registration Procedures, approx. 2 million users and peaks of 60 users/sec) on the sovereign cloud secnumcloud OUTSCALE.

In detail:

- Industrialization of pipelines via gitlab CI/CD
- Setting up the infrastructure as code (IaC) in a secnumCloud region at Outscale
- Setting up an event sourcing architecture
Terraform Gitlab CI/CD Java