I work on using machine learning to detect network anomalies in a disaster recovery system.
My research focuses on using browser advertisement response data to study and better understand the ad ecosystem. Check out the CDL's work here!
I designed and developed a Java application to visually model and manage over 1000 large-scale applications by capturing their key attributes and complex interdependencies.
In this team, I designed and built virtual reality science scenes using Unity assets and C# scripts to use for elementary school education
We created an Android app to democratize the music selection process with a voting system. I worked on backend by integrating Spotify Web API and writing C# song metadata functions Github link
I developed a python program to collect data from the Hubble Space Telescope Archives and generate a color-color diagram. This visualization can be used to determine the age of distant star clusters in the universe. Github link