• Developed customer account features on a Spring MVC framework in Java

• Increased code coverage through JUnit testing and created BDD tests through Gherkin

• Collaborated closely with the team through the Agile SDLC

• Conducted research at the Computational Epidemiology Research Laboratory

• Developed a non-stochastic agent-based approach to modeling viral outbreaks

• Used graph theory to identify potentially crucial nodes of the graph network in an epidemic outbreak

• Learned AWS, Android/iOS development, React, and many other common tools

• Developed a Flask app using DynamoDB and Google Vision and NLP API that converts a picture of a flyer into a Google Calendar event

• Developed startup ideas with a small team to tackle worldwide issues

• Learned a multitude of frameworks including MERN and Flutter

• A python tool using a self-trained Tensorflow model designed to classify and teach the ASL alphabet

• A React Native / Flask app that generates personalized routes to explore your community and nature

• Flask app that allows real time collaboration of music through Spotify

• Flutter (Mobile) app that provides information on water footprint to promote conservation

• Web app that converts flyers to Google Calendar events using Computer Vision and NLP

• Flask app that indexes through NASA's Image Archive api

• MERN stack web app that connects volunteers to those with disabilities

• Research paper written at the Computational Epidemiology Research Laboratory awarded by the Siemens Competition

• Introduced a novel method to modeling disease outbreaks using non-stochastic algorithms