Applied AI & Systems Engineer at Amartya Group Limited.
My research is at the intersection of medicine and machine learning. My core focus is Medical Image Analysis investigating novel methods that can aid and enhance the process of medical diagnosis. Implementing and stress-testing deep learning models on histopathology data to understand where they fail, and why. I also build agentic AI systems, data engineering, deterministic AI, and applied ML in industry.
Distinction
Thesis: "Evaluating GANs for EEG Signal Synthesis: A Comparative Analysis", WGAN-GP achieved >0.9 Pearson correlation, 33% improvement over baseline.
First Class with Distinction
Served as Student Chair for IEEE Student Branch, organised technical events and workshops; oversaw 7 sub-chapters.