With over seven years of experience in data science and machine learning, I am passionate about solving challenging problems that have a positive impact on society and the environment. My fields of expertise are Computer Vision and Time Series forecasting, where I apply deep learning techniques to extract valuable information data. I currently work as a Senior Research Data Scientist at CeADAR, Ireland's national centre for applied data analytics and AI.At CeADAR, I lead and collaborate on several projects that involve the application of state-of-the-art deep learning models on topics such on many exciting verticals such as materials discovery. I have acquired and applied backend skills in frameworks such as Singularity, Flask, and Docker, whether for model training or deployment. Previously, I was a Marie Skłodowska-Curie Career-FIT postdoctoral fellow at CeADAR, where I developed predictive maintenance models for wind turbines using time series regression and classification. As a physicist, I am very interested in applying my knowledge to research.