About Me

A Few words about me

I am a PhD Research Student in Computer Science at the University of Essex, where I also earned my MSc in Applied Data Science. My research focuses on developing explainable deep learning models to analyze neurophysiological time-series data, specifically targeting electroencephalography (EEG) signals to support the early detection of neurological disorders.
Prior to entering academia, I built a strong foundation in enterprise computing, working as a Java Software Developer and engineering large-scale production systems. This background in software design and applied problem-solving strongly informs my current scientific research and engineering workflows.
Alongside my doctoral studies, I lead a dedicated development team capable of designing, building, and deploying scalable, production-ready enterprise systems.