My work involves developing a flood early warning system application intended to serve in rapid response to flood events for the City of Bryan, TX utilizing cloud services and a modern React-centric tech stack. I'm working with a cross-disciplinary team with systems and civil engineers in order to design effective user interfaces & designing database systems and APIs to effectively access and produce insights from a rapidly changing flood of live data.

I’m full-stack developing an interactive web game where the user competes against a multilayer perceptron trained on a large dataset of legitimate and phishing URLs. I used ReactJS, NodeJS, and ChakraUI for the frontend components, interactivity, and routing. On the backend, I used a Flask server to run all necessary calculations for predictions in the game, as well as to send key URL information and classifiers to the frontend. In development of the model, I used Scikit-Learn, Pandas, and Numpy in a Jupyter notebook to process the data and train the model. I used Pickle to export the trained model and scaler for later use in the Flask server.

During my Freshman year of university, I led a team of software developers on a project that used Azure, Git, and a .NET tech stack to create a cloud based web app that was hosted live. It was a huge opportunity early in my software development education for leadership, and while the code wasn't perfect and neither was the result, I learned a lot :)