Freelancer profile translated to English.

Description

Specialized in deploying optimized Claude Code environments for teams. Configuration of MCP context sharing, project structuring, tooling, and system prompts.

So that every developer or product builder works with an AI truly calibrated to their stack and objectives.

Creation of platforms like hirethe.guru, designed to produce high-performance AI agent enrichment models: structured context chains, reasoning pipelines, business-result oriented prompts.

Beyond the coding vibe, I support teams in transforming no-code applications to code, migrating Bubble, n8n, or Airtable logic to clean, maintainable, and scalable Python architectures, without losing the velocity gained in no-code.

Data & AI Consultant based in Marseille, 8 years of experience helping SMEs and startups build tailor-made tech ecosystems, from product strategy to deployment.

Currently CTO at Check Easy, where I lead computer vision AI solutions: advanced model orchestration, contextual MCPs, intelligent automation pipelines. The goal: bring AI monitoring, contextual reasoning, and automated decision flows where teams need them.

No-code expert with 5 years on Bubble, n8n, and Airtable: applications with strong business logic, high-reliability automations, 15+ server-side Bubble plugins. Projects delivered in govtech, recruitment, music, and services.

Microservices and API-first architectures in Python: custom endpoints, data pipelines, performance-oriented services that strengthen and extend existing stacks.

AI Expertise: LLM fine-tuning, vectorization, semantic search, RAG, prompt engineering. Deployment on RunPod, independent GPUs, cloud containers. Frameworks: LangChain, ComfyUI.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Montpellier (up to 15km), Paris (up to 75km)

Checkeasy
CTO
March 2025 - Today (1 year and 5 months)
Development of artificial intelligence models integrating computer vision to automate condition reports
Development of solutions based on advanced artificial intelligence and computer vision models aimed at automating the creation and analysis of condition reports. This approach has improved diagnostic accuracy, accelerated visual data processing, and reduced manual interventions, while ensuring better reliability and consistency of the generated reports. Integration of models into existing processes for smooth and efficient automation.
Front-End Development TensorFlow Web Development Generative AI
Clicknwork
Product Builder
July 2023 - November 2024 (1 year and 4 months)
Responsible for automating integrations across various job boards
I was in charge of designing and implementing automated solutions for efficiently integrating job offers onto multiple job board platforms. My role was to optimize integration processes to improve ad dissemination, reduce manual interventions, and ensure data consistency across different channels.
API
Cabago
CTO Cabago.app
AGRICULTURE
April 2020 - Today (6 years and 3 months)
Montpellier, France
Creator of the Cabago.app project.

The recent societal upheavals linked to the Covid-19 pandemic have modified certain consumer behaviors. During the lockdown, many producers, greengrocers, or retailers offered drive-through services or their basket delivery services.

Forced to observe that this model could work for a time, I wanted to make it sustainable through the advantages that digital technology can bring.

Guillaume

i / Collective

Reviewed on 1/5/2021

Antoine helped me as a coach / expert to improve my skills on the Bubble tool. Very quickly, he managed to save me a lot of time and show me best practices. Also, communication with Antoine is perfect, he answers emails, slack messages, he is very responsive. I recommend Antoine for any experience with Bubble, he will adapt.