I recently graduated from the University of Leeds with a degree in Computer Science with AI, where I developed a strong foundation in machine learning and data science. My masters dissertation centered on the ARMADILLO project, where I worked on developing augmented reality systems for laparoscopic liver operations using computer vision and deep learning techniques. My primary focus involved developing a segmentation model to identify biological landmarks on 3D liver models.

I'm now working a role in data and advanced analytics, applying my technical skills to real-world business challenges. I'm passionate about leveraging machine learning and data science to drive insights and innovation, and I'm always seeking new opportunities to expand my expertise in this rapidly evolving field! Alongside my professional work, I'm actively developing and maintaining LapByLap, a full-stack F1 Fantasy web application that combines Monte Carlo simulations with real-time race data analysis. This ongoing side project allows me to continuously develop my skills in full-stack development, statistical modeling, and data science applications as we approach the 2026 F1 season.