My background combines research and software development, with a particular interest in solving complex problems involving large volumes of data. During my PhD at the University of Melbourne, I worked on developing intelligent approaches to improving database performance, gaining experience in predictive modelling, time-series analysis, and experimental evaluation.

I enjoy exploring how machine learning can be applied to real-world systems to make them more efficient, scalable, and responsive.