Olivier Petit

ML/Software Engineer - LLM & AI Applications

I design and ship software systems powered by AI from backend architecture to production deployment. My background in deep learning lets me go further on the AI side while my engineering mindset makes sure it holds up in production and throughout the development life cycle.

Backend Development Software Architecture AI Engineering LLM Cloud
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Projects

AI Customer Service Agent — Leboncoin

Leboncoin — via Alvia

Design and development of a production LLM-powered conversational agent with RAG. Pipeline architecture, prompt engineering, and implementation of evaluation and observability tooling.

LLM Agent Python RAG

ShakeDown — WIP

Personal project — SaaS

Design and development of an AI-powered SaaS tool for outdoor gear optimization. Full stack (FastAPI + React), multi-step LLM pipeline, deployed to production on a VPS.

FastAPI React LLM SaaS

Fullstack Tech Lead

Capgemini Invent

Fullstack development of a web application for AI model auditing. Shipped to production on AWS.

Angular Python AWS CI/CD

RAG & LLM Systems

Capgemini Invent

Architecture and delivery of RAG pipelines and LLM systems (GPT, Mistral) across multiple client projects. Deployments on Azure and on-premise, with a focus on robustness and long-term maintainability.

LLM RAG Azure Architecture

INNERVE

Quantmetry — AP-HP

Training and deployment of computer vision models for nerve fiber detection in skin biopsies, in collaboration with AP-HP (CHU Bicêtre). On-premise industrialization at the hospital.

Computer Vision Medical Imaging PyTorch Docker

CIFRE - PhD in Computer Vision and Medical Imaging

Visible Patient — CNAM

Development and training of new state-of-the-art deep learning models for 3D segmentation of abdomial organs in CT-scans and MRI images. Collaboration with R&D teams to ship the AI tools developed during the thesis into the annotation software used daily by radiologists.

Python PyTorch / TensorFlow Medical Imaging
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PhD in Computer Vision & Medical Imaging

After graduating as a software engineer from INSA engineering school, I joined the CEDRIC lab to complete a PhD in deep learning applied to medical imaging. I designed novel deep neural network architectures for organ segmentation on abdominal CT scans. It gave me a rigorous foundation in model design, training pipelines, and applied machine learning that I now bring directly to production systems.
See all publications →

Thru-Hiking

My passion for long-distance hiking reflects the way I approach my projects. Planning, discipline, self-reliance, and determination are the hallmarks of these adventures, in which pushing one’s limits is central. I apply the same philosophy to my work, with the constant goal of improving and becoming better.

(Hexatrek — France — Departing June 2026)
3,034 km · 138,000 m D+
Colorado Trail — Colorado, USA
790 km · 27,127 m D+ · 31 days
Tour du Mont-Blanc — Chamonix, France
170 km · 10,600 m D+ · 7 days