Skip to main content
Camille Aubert

Lead Developer & AI Solutions Architect

Camille Aubert

I turn complex enterprise ecosystems into intelligent, production-grade systems — RAG, agents, and AI-assisted delivery.

/ About

Architecture is the new productivity.

For nine years I've built business software — first as a project manager who shipped code, now as the person who designs the systems and the workflows around them.

At Cegos, I lead the technical evolution of a multi-country platform ecosystem, and I've made AI a core part of how the team ships: retrieval systems that expose enterprise knowledge safely to LLMs, and automation that turns a Jira ticket into a deployed feature across repositories.

I care about the 1% — the last percent of polish, reliability, and craft that separates tools people use from tools people trust.

/ Career

A brief overview of my career

Feb 2023 — Present

Lead Developer & AI Architect

Cegos Group

Leading the technical evolution of the corporate multi-tenant platform ecosystem, and making AI a core part of how the team ships software.

  • Designed and shipped an enterprise RAG platform that safely exposes internal knowledge to LLM layers — built to replace the legacy enterprise search engine
  • Leading the modernization of the multi-tenant ecosystem (13 platforms across 7 countries) on AWS and Docker
  • Built the team's AI-assisted engineering workflow: ticket-driven multi-repo orchestration, AI agent procedures, structured code review
  • Driving tech-stack evolution across Laravel, React, WordPress
RAGLLM IntegrationLaravelReactAWSDockerCI/CD
Apr 2016 — Jan 2023

Project Manager & Web Developer

ASSERCAR

Full-stack delivery of business applications with strong SQL depth, API integrations, and project coordination responsibilities, including training and knowledge sharing.

PHPSQLJavaScriptSOAP/REST APIsResponsive UX/UI

/ Featured Projects

A selection of professional work, published apps, and experimental prototypes.

Enterprise RAG Platform screenshot
Applied AI Systems

Enterprise RAG Platform

In production

Replaced the enterprise search engine with a retrieval-augmented platform that safely exposes internal knowledge to LLM layers — vector search pipelines, context engineering, and cost-aware inference.

RAG Vector Search Context Engineering Python AWS
Nestor le Groom screenshot
Side Project

Nestor le Groom

POC · Live

A RAG + LLM assistant for independent hotels: staff ask in plain language, Nestor retrieves answers from real house documents — bookings, service, housekeeping. Chat and back-office, built end-to-end.

RAG Laravel DeepSeek OpenAI Embeddings MySQL
Autonomous Agent Workflow & Custom RAG screenshot
Autonomous AI Systems

Autonomous Agent Workflow & Custom RAG

Production-ready

Conceived and developed a production-ready autonomous agent system for multi-source indexing. Built on MCP principles to connect isolated databases with generative models, enabling reliable automated task execution.

MCP Multi-Agent RAG Python TypeScript
Cegos Env Switcher screenshot
Side Project

Cegos Env Switcher

Open source

A Chrome extension that instantly switches Cegos platforms between production, preproduction and localhost — because context switching shouldn't cost minutes a day.

Chrome Extension JavaScript Developer Tooling
Cegos Platform Ecosystem screenshot
Scalable Web Architecture

Cegos Platform Ecosystem

At Cegos

Contributed to the evolution of a multi-country digital platform built on Laravel, React and WordPress, with strong performance and conversion requirements.

Laravel React WordPress CI/CD AWS

/ Tech Stack

The tools and practices I work with, by domain

AI & Data

RAG Architecture
Context Engineering
Multi-Agent Orchestration
Token Cost Optimization
Vector Databases

Backend & Architecture

Laravel
React
Enterprise Patterns
Multi-tenant Systems
API Design

Platform & Cloud

Docker
AWS
CI/CD

Delivery & Growth

Technical SEO
Performance Engineering
Ecommerce Platforms
Cross-functional Leadership

/ Now

What I'm up to

How we replaced our enterprise search engine with RAG — field notes

Coming soon on LinkedIn

More posts & articles

On LinkedIn

/ Contact Me

Feel free to reach out. I'm always open to discussing new projects and opportunities.