Paolo Terrone

I am a Master's student in Computer Engineering (AI and Data Science) with a background in Biomedical Engineering, passionate about statistical data analysis, machine learning, and automation.

During my bachelor's and an internal internship at Università degli Studi del Molise I applied signal analysis techniques using MATLAB and motion-tracking sensors to support research on neurodegenerative therapies, collaborating closely with the research team to improve clinical evaluation methods. I also completed verbal AI recognition training at Pareto.AI, gaining practical experience preparing and annotating data for AI systems.

I work with Python, MATLAB, TensorFlow, scikit-learn and cloud platforms (Google Cloud, AWS, Azure), and I am experienced with MLOps tools such as MLflow, Docker, Prefect, and GitHub Actions for model deployment. I am building personal ML projects to publish on GitHub and seek roles where I can contribute to applied AI, continue learning, and help deploy robust ML solutions.