In collaboration with nutritionists at Tufts University, this project aims to develop a nutrition based application to support spoken descriptions of food consumption (e.g., what I had for breakfast, etc). The system will develop the speech prototype and food patterns using the Conditional Random Field (CRF) model to achieve loop based crowd sourcing. Through semantic tagging and a hidden Markov model, the system associates which properties correspond to which food items and identifies dependencies between an attribute and a food item using a dependency parser. Furthermore, we will integrate the semantic tagger into a web-based and mobile application.

During my past internship at Boeing in Space and Intelligence Systems, I developed ground software for an end to end satellite communications system. As part of the System Resource Allocation tools team, I tested end to end functionalities on the Central Network Manager to maximize signal beam distribution and developed various plug ins for the Network Management System dashboard.