Projects focused on artificial intelligence, machine learning and MLOps.

• Machine learning pipelines: data preparation, training and evaluation.
• Natural language processing and LLM-based applications.
• Model serving and deployment: APIs, containers and continuous integration.
• MLOps: reproducible, tested and deployable workflows.

Most of the work is in private repositories.