Freelancer profile translated to English.
Back to original languageAbout Yann
Hello,
Computer engineer specializing in applied AI and data science, I assist companies from idea to production: design, R&D, development, and industrialization of AI solutions that truly work.
▸ Generative AI, RAG & Agents: LLM orchestration, RAG systems (embedding/semantic matching), data source integration via MCP, prompt engineering.
Recent achievement: a meal analysis pipeline combining image detection/segmentation, semantic matching on a nutritional database, and LLM calls, from R&D to production.
▸ Computer Vision / Deep Learning: object detection (YOLO), image classification (EfficientNet, ResNet…), model training and optimization pipelines. Recent experience on an end-to-end computer vision project.
▸ MLOps & Industrialization: Docker containerization, CI/CD, cloud deployment, robust REST APIs, automatic retraining pipelines. Example: ML model delivered in a Docker container with automated weekly retraining.
▸ Data Engineering: robust and scalable data pipelines, structured/unstructured data manipulation, web scraping, cleaning, and enrichment.
▸ Consulting & Scoping: feasibility study, technology selection, estimation of timelines and expected performance. Clear communication to non-expert audiences.
▸ Dataviz & Automation: interactive dashboards (Streamlit, Dash), Python scripts for automating recurring tasks.
With concrete experience in deploying and maintaining models in production, and daily practice of cutting-edge AI tools (LLM, agents, RAG), I can assist you through all phases of your data and AI projects.
Yann
French
Native or bilingual
English
Fluent
Can work on-site
Tours (up to 10km), Angers (up to 10km)
Experience
- TrayvisorDesign of a complete AI meal analysis pipelineRESTAURANTS AND FOOD SERVICENovember 2025 - Today (9 months)Paris, France- Computer Vision: food detection + segmentation on image- Retrieval / RAG: semantic embedding matching against a database- LLM Orchestration: AI API calls, prompt engineering, database integration via MCP- Data: SQL queries, structuring and enriching results- MLOps: monitoring of model performance in production- Stack: Python, PyTorch, Docker, Git, REST API
- OLO ART
On Malt
Voice cloningMarch 2024 - March 2024 (1 month)Voice Cloning:- Audio data collection (scraping)- Data cleaning- Technology watch to compare models - Sonova audiological care FranceImprovement of an image classification systemJuly 2022 - August 2022- Restructuring image data to test different approaches- Implementing CNN architectures for classification (efficientnet/resnet..)- Training and testing to measure model performance- Explanations via a code block of the practical use of the model
Reviews
Recommendations
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Education
- Computer EngineeringUniversity of Technology of Compiègne2020- Tronc commun en Mathématiques - Formation Informatique générale (Base de données, C++, Python, Algorithmes classiques) - Spécialisation en IA/data science (Python/Pytorch, Algorithmes de ML et DL, Statistiques) - Parcours "mod math" --> Parcours facultatif se focalisant sur les compétences nécessaires à la modélisation mathématique
- Master in AIUniversity of Technology of Compiègne2020Année supplémentaire se focalisant sur l'application du Deep learning (CNN, NLP, Reinforcement Learning...) C'est à cette occasion que j'ai réalisé un projet de groupe sur le Reinforcement Learning, qui a donné lieu à une publication. Le projet : https://github.com/toanngosy/robustprosthetics La publication : https://hal.archives-ouvertes.fr/hal-03130272
Certifications
- Convolutional Neural NetworksCoursera2019
- Neural Networks and Deep LearningCoursera2018