Freelancer profile translated to English.

Description

GenAI Engineer with a proven track record in production and demanding R&D environments (Air Liquide, Safran). I design and deploy end-to-end RAG systems, LLM agents, and AI pipelines, from architecture to evaluation.

What I bring concretely:

Deployment of a RAG assistant in production for 250+ users (−60% reporting time) at Safran Aerosystems

Full RAG system at Air Liquide R&D: LangChain, FAISS/Pinecone, hallucination evaluation via RAGAS and LLM-as-a-judge

MedTech computer vision pipeline with 95% accuracy (+24% gain)

Data CI/CD pipelines (GitHub Actions): −80% data preparation time

Technical Stack:

LangChain · LangGraph · LlamaIndex · RAG · Multi-Agent Systems · OpenAI API · Mistral · HuggingFace · LoRA/QLoRA · FAISS · Pinecone · RAGAS · LangSmith · Langfuse · PyTorch · Docker · Python

Target Mission Profiles:

RAG implementation, LLM architecture, model evaluation, AI agents, AI workflow automation — remote or Paris.

Available for freelance missions starting January 2026.

Languages

English
Native or bilingual
Spanish
Conversational
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Air Liquide R&D Japan
Machine Learning Engineer R&D
June 2025 - December 2025 (6 months)
Tokyo, Japan
• Designed, built and evaluated a production Retrieval Augmented Generation (RAG) system using LangChain and vector databases (FAISS/Pinecone); measured hallucination rates and validated outputs via LLM-as-a-judge.
• Improved a MedTech facial measurement pipeline from 2D to 3D video, achieving 95% accuracy and 95% user validation (+24% accuracy gain).
• Contributed to a global ML project for molecular property prediction; built scalable web scraping pipelines to collect and enrich datasets for ML and RAG-based models.
• Designed data preprocessing workflows integrated into CI/CD pipelines (GitHub Actions), reducing data preparation time by 80% and accelerating clean dataset production by 70%.
Langchain Retrieval-Augmented Generation (RAG) Python CI/CD LLM
Safran Aerosystems
Software AI Developer
June 2024 - September 2024 (3 months)
Paris, France
• Planned and deployed a RAG-based virtual assistant using Ollama and LangChain to streamline internal knowledge access and reporting workflows.
• Designed predictive analytics models to forecast delivery delays from historical industrial data.
• Delivered AI automation tools saving 500+ hours per week across 250+ active users, reducing reporting time by 60% in a top aerospace environment.
artificial intelligence RAG Machine learning Python Langchain
Harlocmoi
AI Tech Educator & Content Creator
January 2023 - Today (3 years and 5 months)
Paris, France
• Built a tech-focused content platform translating AI and engineering concepts into educational short-form content; generated 10M+ total views and grew a 100K+ audience.
• Improved engagement by 40% using a data-driven content strategy and continuous optimization.
• Collaborated with tech communities and brands to showcase real-world AI applications in the global tech ecosystem.