🎓 Engineering graduate from EIGSI La Rochelle, specialized in Industry 4.0 and Industrial Digitalization.
I am currently developing my skills in three main areas:
- AI Agents & AI Development: LLMs, LangChain, LangGraph, MCP, RAG, multi-agent systems and AI-assisted software development.
- Machine Learning & MLOps: Supervised and unsupervised learning, deep learning, data preprocessing, model training, evaluation, deployment and experiment tracking.
- Embedded AI & AIoT: Edge AI, TinyML, microcontrollers, sensor data processing and intelligent IoT systems.
Programming & Data: Python | SQL | C/C++ | Pandas | NumPy
AI Agents & AI Development: LangChain | LangGraph | MCP | RAG | OpenAI CLI |LLM Application
Machine Learning: Scikit-learn | Jupyter Notebook | Model Evaluation | Feature Engineering
MLOps & Deployment: MLflow | Docker | Kubernetes | Kubeflow | GitHub Actions | GCP
Embedded AI & AIoT: ESP32 | Arduino | Edge Impulse | TensorFlow Lite Micro | IoT Sensors
Development Tools: Git | GitHub | VS Code | Jupyter Notebook
- Iris ML Deployment
- Iris ML Deployment 2
- Hotel MLflow Project
- Machine Learning Zoomcamp Homework
- Music MLflow Project
- NYC Taxi Machine Learning
Currently working on practical projects involving microcontrollers, sensor data processing, TinyML and human activity recognition.
Projects will be added as development progresses.