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++
Deploying feature updates and bug fixes for internal university services including attendance tracking systems. Engineering and maintaining backend integrations with core university infrastructure including REST APIs, authentication systems, and databases. Implementing improvements based on user feedback to increase adoption and real-world usage.
Created internal data preparation tools and accelerated data visualization pipelines to improve research workflows. Developed documentation for remote hosting of visualization applications handling large datasets. Focused on enabling better data sharing and collaboration within the research team.
Built a cloud-based platform as the founding engineer to deliver learning modules across schools, standardizing instruction. Implemented automated synchronization between the learning platform and task-management systems to streamline onboarding. Developed a centralized database system with automated pipelines to manage clients and volunteers.
Led evaluation and performance testing of neural networks for genomic dataset feature reduction to improve associativity detection. Optimized large-scale genomic computations using parallel processing techniques on HPC clusters. Engineered a generalized data-processing pipeline as a Python package to streamline machine learning dataset creation.
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.
Utilized Large Language Models and text classifiers (OpenAI API and LangChain) to create a web resource for students to generate practice tests from a PDF of notes. Text classification via LangChain allowed for users to select a number of questions from particular generalized concepts generated from the notes.
Architected, designed and built a social media application that allows users to share and send 'bits' of sound that they come across in their daily life, and enable other uses to use them as a library of samples for them to use in their music productions.
Built and designed a fully functional and reactive website using solely HTML, CSS, and JavaScript. This includes a sales flow, auth (admittedly only saving data locally for lack of access to a more full fledged auth and databasing solution), and components using HTML injection. From my high school years!
Built matchup optimizer utilizing Random Forest Classifiers and data pulled from official FIRST APIs to train a Random Forest Classifier alongside Binary Classification to predict wins to about an 85% accuracy rate. Included a Svelte frontend and visualization 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.