Freelancer profile translated to English.
Back to original languageAbout Yvan
I am a Data Scientist & AI Engineer specializing in pragmatic AI solutions: AI agents, RAG systems, business automation, ML/Deep Learning models, and cloud data pipelines.
I help companies transform their data into operational tools: intelligent assistants, internal search engines, support automation, forecasting, quality control, dashboards, and APIs.
I have delivered end-to-end projects using: LangChain, LangGraph, FastAPI, Python, SQL, BigQuery, GCP, pgvector, Redis, Vertex AI, HuggingFace.
Among my achievements:
• AI agents to automate messages and business tasks,
• LLM-augmented search engines,
• reliable RAG pipelines with monitoring,
• ML models (forecasting, classification, industrial vision),
• cloud data pipelines and robust APIs.
My added value: I deliver quickly, cleanly, without overcomplicating. I design clear, documented, easy-to-maintain solutions, and I know how to simplify technical concepts for business teams.
I can be involved for an audit, a POC, the improvement of an existing system, or a complete development.
If you are looking for a profile capable of understanding your needs, choosing the right technology, and delivering a truly usable AI solution, I can assist you.
French
Native or bilingual
English
Fluent
German
Basic
Can work on-site
Paris (up to 50km)
Experience
- Renault GroupData ScientistSeptember 2023 - September 2025 (2 years)Guyancourt, France
- Design of a hybrid search engine combining (textual and vector search) to extract solutions from customer feedback +35% accuracy, -60% search time.
- Implementation of a multilingual architecture translating over 27,000 documents into 27 languages with language-specific indexing.
- Design of an LLM evaluation pipeline to select the best translation models based on accuracy and latency using Streamlit.
- Development of a BigQuery data warehouse (100k+ logs) and real-time analytical dashboards to track the usage of Renault after-sales applications.
- Leading internal workshops on generative AI and technical simplification.
Tech stack: Python, SQL, NoSQL, Vertex AI, Google Cloud Storage, BigQuery, MongoDB, Spotfire, Jira, Confluence, Gemini 1.5 Pro, Translation-AI, Gradio - Selha GroupAI EngineerDecember 2024 - February 2025 (2 months)Rouen, France
- Fine-tuning of the YOLOv8 model on GPU Cloud (A10) for defect detection on printed circuit boards, with improved robustness through annotation and data augmentation.
- Deployment of a REST API (FastAPI) integrating the trained model into the real-time quality control chain, achieving 80% accuracy and a 60% F1 score.
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Education
- Engineering degree in Big Data andESIGELEC – Engineering School in Applied Sciences2025Diplôme d'ingénieur en Big Data et
- Google Cloud Professional Machine Learning Engineer Stanford Online Statistical Learning Natural Language Processing with Attention ModelsGoogle Cloud Professional Machine Learning Engineer Stanford Online Statistical Learning Natural Language Processing with Attention Models