React Native mobile app that learns a user’s taste to recommend restaurant dishes the user would love using artificial intelligence.Built frontend components, integrated backend systems with AWS, and created AI models that achieved 91% accuracy in dish recommendations.

Explored the relationship between various cells and diabetic foot ulcer by preprocessing patient data, using K-Nearest Neighbors to identify cell types based on gene expression clusters, and creating a transformer model incorporating multi-head self-attention

Mobile app that provides offline educational resources to underdeveloped areas.Used technologies like CouchDB and Angular to make key contributions such as implementing dark mode and resolving critical runtime bugs.

Developed and published a manuscript showing that a convolutional neural network can place roadside units on a map to solve the combinatorial optimization problem of maximizing the utility of units while minimizing the cost of installation

Nonprofit mobile app that crowdsources ratings on businesses regarding their COVID-19 safety measures.Created 19 frontend components and handled functionality regarding authentication, data storage, and notifications.Featured on 3 news stations and 11 publications, including the Boston Globe.