Career
One continuous thread, carried first inside a software vendor and then independently for clients: start from a real business need, build the system, and stay accountable for it once it runs in production.
Experience
Backend & AI developer, freelance
2026SY Solutions partnership · Lyon
- Fixed-scope engagements in backend development and AI integration: Python, FastAPI, REST APIs.
- Identifying and qualifying prospective clients among early-stage startups and innovation incubators.
Backend & AI developer
2022 – 2025Go2cam International · Lyon · CAD/CAM software vendor
- Designed and deployed a RAG system for internal documentation search: research time cut by roughly 50%.
- Shipped an in-house LLM exposed through REST APIs, consumed by several business applications.
- Vector databases with Qdrant, ChromaDB and PostgreSQL with pgvector.
- Predictive Random Forest and XGBoost models for demand forecasting, up to 87% accuracy on the test set.
- Rebuilt the internal Django portal: authentication, workflows, REST APIs.
- Automated data and AI pipelines, deployed and maintained in production with the technical teams.
Technical stack
The tools I actually run in production, not a watchlist.
- Python
- FastAPI
- Django REST
- PostgreSQL
- MongoDB
- Qdrant
- PyTorch
- TensorFlow
- scikit-learn
- MLflow
- Airflow
- Docker
- Kubernetes
- n8n
- React
- Vue 3
- Next.js
- pgvector
- ChromaDB
- RAG
- LLM integration
- Embeddings
- XGBoost
- CI/CD