Freelancer profile translated to English.

Description

AI Engineer with 5+ years of experience combining computer vision, multi-agent LLM systems, and RAG pipelines. I industrialize real-time ML solutions and design production-ready agentic architectures. Solid background in computer vision (detection, segmentation, classification) with a focus on the agentic and GenAI ecosystem (LangChain, Claude, MCP).

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Hiphen
AI Automation Lead
TECH
July 2025 - Today (1 year and 1 month)
Avignon, France
Responsible for industrializing AI tools and adopting multi-agent systems within the company.
Designed a multi-agent development kit deployed to 10 developers, reducing development time by 30% and code review time by 75%
Implemented end-to-end RAG pipelines (LangChain, ChromaDB, Sentence-Transformers) with chunking management, source citation, and guardrails against hallucinations
Developed MCP servers making business and satellite data APIs accessible in natural language to non-technical teams, previously impossible to use
Established an AI usage observability system: tracking lines of generated code, proportion of Claude code in PRs, and acceptance rate, enabling adoption steering and ROI measurement
Trained 12 employees on Anthropic tools (Claude Desktop, Claude Code, MCP), with effective daily adoption
Delivered React interfaces in production after a 2-week upskilling period
MCP RAG LLM AI Agent GenAI
Hiphen
AI Tech Lead
TECH
January 2023 - June 2025 (2 years and 5 months)
Avignon, France
Technical lead of the R&D team, managing the ML pipeline redesign and development practices standardization.
Built and managed a team of 6 people: participation in recruitment, onboarding, and skill development
Complete overhaul of the ML pipeline (annotation → training → deployment), reducing customer data delivery time by a factor of 10 through more efficient models and optimized inference
Standardization of development practices: creation of boilerplates with integrated linters, formatters, and type checking, significantly improving code quality and maintainability
Development of custom monitoring tools to evaluate CV model performance
Cross-functional collaboration with R&D, IT, Software Engineering, Production, Sales, and Marketing departments to align AI solutions with business needs.
Project Management Python Continuous Improvement LLM Algorithms and Data Structures
Hiphen
Computer Vision Engineer
TECH
August 2021 - January 2023 (1 year and 5 months)
Avignon, France
Development and deployment of real-time computer vision models for precision agriculture.
Development and deployment of real-time optical sorting models for Moët & Chandon, analyzing the quality of all grapes in their presses (annual volume in millions of euros)
Real-time models for flax with strict constraints (3 images/second), detection, segmentation, and classification with >95% accuracy
Processing and fusion of multi-sensor data: RGB, multispectral, hyperspectral, LiDAR, rangefinder
First member of the R&D team, contributing to its structuring and growth from 1 to 6 people
Computer Vision Python Data Cleaning and Preprocessing Data Analysis Project Management