Selected work

Working across medical terminology, standards research, and security as several clinical systems come together into one shared platform.

A hands-on assessment of a deliberately vulnerable banking app, finding the authorization and configuration weaknesses and writing up how to fix them.

Working a vulnerable API from its docs instead of a screen, reasoning about endpoints I could not see, the way real API testing often starts.

I worked with a real healthcare dataset, cleaned and explored it, and used it to predict whether patients would keep or miss their scheduled appointments, building the models with decision trees and a random forest.

We were given raw consumer datasets covering things like demographics, address, and profile information. I structured and normalized the data, then queried it to pull out patterns and make sense of what was there.

A research paper comparing how self-driving and connected cars defend their networks, looking at two different security frameworks and what each one gets right.

A UPS battery monitoring system. I built a model that looks at battery data and classifies its state as normal, degradation, or thermal anomaly, so problems can be caught early.