Freelancer profile translated to English.

Description

I am anAI Technical Leader & Full Stack Architectwith 15+ years of experience, specializing in building and optimizing robust and complex software platforms. My expertise spans development, architecture, and Data Engineering.

My most recent experience at DINUM(Interministerial Directorate for Digital Affairs) has equipped me withcutting-edge expertise in Generative Artificial Intelligence (GenAI)and in creating high-impactopen-sourceapplications.

Notably, I contributed to:

Optimizing AI model relevancethrough the implementation ofRAG (Retrieval-Augmented Generation)systems to enrich responses with internal context.
IntegratingOCR(Optical Character Recognition) services for automatic information extraction from documents.
Designing atraceability systemfor AI model usage and consumption.

I also guarantee thequality and reliabilityof projects by implementing automated tests, setting upContinuous Integration (CI on GitHub)pipelines, and real-time error tracking via Sentry. My know-how is built on solidPythonexpertise and a modern approach to software engineering.

Industry field of expertise

Languages

English
Fluent
Spanish
Conversational
English
Fluent
English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Besançon (up to 50km), Lyon (up to 10km), Paris (up to 10km), Lausanne (up to 20km), Genève (up to 10km)

DINUM
AI Software Engineer
PUBLIC SECTOR
February 2025 - October 2025 (8 months)
Paris, France
Within the Interministerial Directorate for Digital Affairs, I contributed to the development of **OpenGateLLM**, an open-source application that centralizes and manages multiple generative artificial intelligence servers, similar to the LiteLLM solution.

I worked on:
Improving context-enriched text generation systems(RAG technology), enabling AI models to produce more relevant responses by leveraging internal documents or data.
Integrating text recognition services(OCR), allowing the application to automatically extract information from images or documents.
Designing a system for tracking AI model consumptionper user, allowing for better visibility and usage management.

I also contributed to enhancing the overall project quality by:
adding automated tests to ensure code reliability,
setting up a continuous integration (CI) pipeline on GitHub,
integrating a real-time error tracking system via Sentry.
Retrieval-Augmented Generation (RAG) LLM Fast API vllm Open Source
Flowbird Group
Technical Lead
TRANSPORTATION
August 2021 - December 2024 (3 years and 4 months)
Besancon, France
I supervised a team of about ten developers responsible for creating a ticketing system for Île-de-France Mobilités (IDFM) bus and tram networks. This large-scale project involved collaboration with two major industry players, Conduent and Equans, as well as regular exchanges with all public transport operators in the Paris region, notably the RATP.

As this involved embedded software (installed directly in equipment), code reliability and robustness were essential. The solution was based on a microservices architecture, making it more modular, scalable, and resilient.

Technologies used: Python, Flask, MQTT, SQLite, Docker
Project management tools: Jira, Confluence, BitBucket
Team Management Microservices Architecture Docker Python Technical Specifications
HYVILO
IT Project Manager
ARCHITECTURE AND URBAN PLANNING
February 2021 - August 2021 (6 months)
Besancon, France
At Hyvilo, a startup specializing in SaaS applications for smart cities, I led the architectural design and development of the core product, a web application for visualizing interactive maps, similar to Google Maps.

In this role, I worked on several key areas:

Development of advanced mapping features, using PostGIS for geospatial data management.

Implementation of a map visualization interface in React/TypeScript, allowing users to explore and interact with territorial data.

Design and development of the backend using Django and GraphQL, to provide a performant, flexible API tailored to the product's needs.

Structuring and overseeing the overall solution architecture, ensuring its scalability and reliability.

I was also responsible for:

the creation and maintenance of a complete CI/CD pipeline via GitLab, to ensure fast, automated, and reliable deployments;
the continuous improvement of code and best practices within the team.

Technologies used: Django, GraphQL, React, TypeScript, PostGIS
PostGIS FastAPI React.js Django GraphQL