I build software in light of the endless universe.

Point by point, edge by edge, line by line; exploring novelty. I'm a college student specialized in novel applications at the intersection of human-computer interaction, software engineering, and machine learning.

Portrait of Friedrich Nietzsche
Creating — that is the great salvation from suffering, and life's alleviation.
— Friedrich Nietzsche, Thus Spoke Zarathustra

Just as Nietzsche saw art as the answer to suffering, I see software design as a way to meet intricate human needs through minimalist aesthetics.

Experience

I
Synchrony Financial

Software Development Intern

May 2026 — Present

Built internal software, automation, and analytics tools to improve engineering efficiency and visibility across Synchrony. Developed a Spring Boot backend and dashboard to surface company-wide GitHub Copilot usage, productivity, and adoption metrics, deployed scheduled data synchronization jobs on Pivotal Cloud Foundry using internal APIs, and created a Vue.js and Python application that allowed non-technical users to run internal scripts through a simple self-service interface.

ML Data Operations Intern

May 2026 — Aug 2026

Developed machine learning and data solutions to improve how customer feedback was classified, analyzed, and used across Synchrony. Built NLP models and cloud-based processing pipelines for large-scale survey data, helping improve sentiment classification, enrich customer datasets, and uncover behavioral insights for customer experience and support teams.

II
Children's National Hospital

Contract Fullstack Software Engineer

Aug 2025 — May 2026

Contributed to the development of a healthcare-focused software and hardware system designed to support patient monitoring, real-time communication, and clinical usability. Worked across the full technology stack while collaborating with engineers and stakeholders to translate medical device requirements into practical, secure, and scalable application features.

III
University of Maryland — College Park

Research Assistant — HCI Lab

Aug 2025 — May 2026

Supported human-computer interaction research focused on improving how researchers structure, interpret, and analyze complex qualitative data. Combined literature review, system design, and machine learning-oriented workflows to help develop tools and frameworks that make analytical processes more efficient, explainable, and research-ready.

IV
University of Minnesota — Twin Cities

Research Assistant — Visual Intelligence Lab

Dec 2024 — Aug 2025

Contributed to interdisciplinary HCI research at the intersection of machine learning, visualization, and collaborative software development. Helped build research systems that made neural network behavior more accessible to users through interactive interfaces, while participating in a team-based engineering workflow for experimental research prototypes.

Projects

I

TrachSense

A fullstack mobile app for tracking and managing tracheostomy patients' CO₂ sensor data, paired with a custom hub device that extends the sensor's range and securely backs up readings.

Live demo
TrachSense login screen TrachSense patient selection screen TrachSense home dashboard
II

GNN101

An educational visualization tool for interactively exploring graph neural networks by weaving mathematical formulas together with a model overview, layer operations, and animated matrix calculations.

GitHub
GNN101 interactive visualization
III

GitGraph

A mobile graph visualizer for GitHub repositories that renders branches, commits, and files as one interactive map. Tap any element to inspect its details.

GitHub
GitGraph repository visualization
IV

PRAXA

A unified framework for what-if analysis in visual analytics, standardizing scenario modeling methods across domains through analysis of 141 publications.

Read paper
PRAXA framework diagram
003

Contact

Reach me through any of the channels below.