I'm a computer engineering and computer science student at Duke University. I write software and create systems to help people, whether it be in health, education, or software development. I also take pictures sometimes. Check those out too!
I program in a number of languages and with a broad range of principles, from frontend and design to backend, to simple scripts. Most of my work is done in Java and TypeScript, but I have worked extensively with Go, Python, C, and C++
Internal university services and maintaining backend integrations with core university infrastructure including REST APIs, authentication systems, and databases.
Created internal data preparation tools and data visualization pipelines to improve research workflows.
Built a cloud-based platform as the founding engineer to deliver learning modules across schools, standardizing instruction, and built systems to streamline client and volunteer onboarding.
Led evaluation and performance testing of neural networks for large-scale genomic dataset feature reduction to improve associativity detection.
Visual TUI to supercharge your Git experience. Includes a compenent to autodetect changes in a package manager and suggest installing these changes on pull or checkout, and a diff selection tool to compose commits.
Moves Linux AppImages to a central directory and adds a symlink entry to your app drawer.
EHR-integrated application that automates managing patient appointment scheduling (and rescheduling). Built to scale with Go, React, and Next.js using a scalable modularized architecture.
Social media application that enables users to easily make and share short sound recordings for music producers to use in their music.
Web resource for students to generate practice tests from a PDF of notes with text classification to detect generalized concepts to customize generated quizzes.
Fully functional and reactive website using solely HTML, CSS, and JavaScript. From my high school years!
Matchup optimizer using data pulled from official FIRST APIs to train a classifiers to predict wins to about an 85% accuracy rate. Included visualizations to inform match strategy.
Customized user interface for Firefox (via userchrome.css), includes integration that modifies the default homepage with the daily Astronomy Picture of the Day.
CLI matrix computational tool I wrote to make doing linear algebra homework easier. Wrapped in a python package.