Software Engineer Intern @ Webscorer Inc.
- Developing a real-time Android GPS map and tracking module with the Google Maps API, delivering 1Hz location updates.
- Recording and displaying racer route, and supporting full race replay functionality.
Hi, my name is
Applied & Computational Math Sciences student at the University of Washington, currently building real-time GPS tracking at Webscorer Inc., with skills in full-stack development, data science, and machine learning.
I'm pursuing a B.S. in Applied and Computational Math Sciences at the University of Washington, with minors in Applied Math, Data Science, and Informatics. I love building projects that turn math and data into things people can use.
A few technologies I've been working with:
Jan 2026 – Mar 2026
Worked with ESS graduate students to build a CNN climate model in PyTorch predicting longwave and shortwave Cloud Radiative Effect from global sea surface temperature patterns using CMIP CanESM ensemble data. Engineered an end-to-end pipeline for NetCDF preprocessing, dataset concatenation spanning 250 years, and CRE derivation, training a model with average skill score of 91.14% across 275M+ data points.
Dec 2025 – Feb 2026
Built a Tutor and Mock Interview Chrome extension with JavaScript, scanning current tab data for context, with a FastAPI backend delivering real-time conversation using Kokoro for TTS audio generation. Used Llama 3.2 to generate responses, hosting a server handling real-time voice processing and response generation — a fully offline conversational agent achieving ~15s response times.
AMATH · Scientific Computing
Solved the 2D vorticity–streamfunction form of the Navier–Stokes
equations on a periodic grid using an FFT spectral method and
solve_ivp time integration. Simulated colliding
vortex pairs, like- and oppositely-signed vortices, and a
turbulent field of many interacting vortices — rendered as
animations.
Written Paper · Differential Equations
A paper modeling romantic relationships as coupled systems of differential equations. Explores how feedback between partners' feelings produces stable, oscillating, or runaway dynamics, with phase-plane and stability analysis of the resulting fixed points.
Technical Manual · Deep Learning
A from-scratch instructional manual walking through building and training convolutional neural networks in PyTorch — covering tensors, convolution and pooling layers, the training loop, loss and optimization, and practical tips for getting a model to converge.
DubHacks 2025
A mobile app that gamifies class attendance with a weekly leaderboard among friend groups. Built with Expo React Native and a Firebase backend for auth and data, turning showing up to class into a friendly competition with streaks and rewards.
Data Science
A growing collection of end-to-end EDA notebooks spanning topics like AI & productivity and education & career success. Each walks through cleaning and preprocessing, univariate to multivariate analysis, and visualization-driven conclusions.
R · Shiny App
An interactive Shiny app analyzing 39,900+ clutch shots since 1996–97 to study who performs under pressure and how it shifts win probability. Visualizes shot efficiency, per-game win-prob impact, and how attempts and experience relate to clutch success.
What's next?
I'm always open to new opportunities and I love building and solving problems. Whether you have a role in mind or just want to chat, my inbox is open.
Say hello