I build, test, and ship software people can use.
I'm the founder of NutriScan and a Data Science student at Purdue. I designed and shipped NutriScan's iPhone app, built AeroStream's interactive wind tunnel, and lead research on Fourier Neural Operators at BU1LD. I work across SwiftUI, product design, and applied machine learning. I care about the details after an idea becomes a real product.
I founded NutriScan and built its iPhone app from product design through App Store release. People can scan meals or barcodes, review editable nutrition information, and find nearby food resources.
I built AeroStream to make fluid dynamics something people can explore on an iPhone. Its on-device solver powers live flow visualizations, with controls for wind speed, viscosity, and angle of attack.
As a BU1LD lead researcher, I work with a team on FNOs for 2D Darcy flow and make the experiments reproducible and easy to evaluate.
I built a tool that turns data-pipeline errors into explanations people can act on, with plain-language context and next steps.
Applied data science work using Python, R, SQL, and UNIX across seminars and research projects.
I designed the iPhone experience, built and shipped the app, and continue to coordinate work across the app and backend.
I built an on-device flow solver and made its controls and visualization usable on an iPhone.
Our research uses seeded runs and fixed evaluations. I document positive, negative, and inconclusive results.