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Camille Aubert

Hello, I'm

Camille Aubert


Architecting robust, scalable web ecosystems and production-grade AI systems. I bridge the gap between complex enterprise data and intelligent, non-deterministic client applications. Focused on engineering secure RAG workflows, autonomous agent orchestration, and cost-efficient token economic models.

/ Career

A brief overview of my career

Feb 2023 - Present

Lead Developer & AI Architect

Cegos Group

Architecting enterprise knowledge retrieval systems (RAG) to safely expose internal data to LLM layers, minimizing hallucinations and non-deterministic behavior. Leading the modernization and scaling of the corporate multi-tenant ecosystem (13 platforms across 7 countries) handling high-traffic volume on AWS and Docker environments. Driving tech-stack evolution and engineering processes, shifting team velocity through structured AI assistance and rigorous code review patterns.

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 APIsAJAXResponsive UX/UI
Current focus

Applied AI & Product Engineering

Cross-functional collaboration

Designing retrieval-based and AI-assisted systems that connect architecture decisions to practical business usage, with emphasis on reliability and production readiness.

RAG systemsAI-assisted workflowsArchitectureTechnical leadership

/ Featured Projects

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

Enterprise Retrieval Systems screenshot
Applied AI Systems

Enterprise Retrieval Systems

Designed and deployed an end-to-end RAG architecture for enterprise data access. Implemented advanced vector search pipelines, context window optimization strategies, and robust data isolation governance. Focused heavily on inference cost management (Token Economy) and output reliability.

RAG Vector Search Python AWS LLM Integration
Autonomous Agent Workflow & Custom RAG screenshot
Autonomous AI Systems

Autonomous Agent Workflow & Custom RAG

Conceived and developed a production-ready autonomous agent system for multi-source indexing. Built utilizing modern Model Context Protocol (MCP) principles to connect isolated databases with generative models, enabling reliable automated task execution.

MCP Multi-Agent RAG Python TypeScript
Cegos Platform Ecosystem screenshot
Scalable Web Architecture

Cegos Platform Ecosystem

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
Performance & SEO Engineering screenshot
Delivery & Optimization

Performance & SEO Engineering

Built and optimized experimental and client-facing web projects focused on rendering speed, SEO quality and implementation discipline.

Performance SEO PHP WordPress

/ Tech Stack

Breakdown of my technical skills, categorized by domain and proficiency

Expert
Proficient
Beginner

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

/ Contact Me

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