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.
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.
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.
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.
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.
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.
An educational visualization tool for interactively exploring graph neural networks — weaving mathematical formulas together with a model overview, layer operations, and animated matrix calculations.
A mobile graph visualizer for GitHub repositories that renders branches, commits, and files as one interactive map — tap any element to inspect its details.
A unified framework for what-if analysis in visual analytics — standardizing scenario modeling methods across domains through analysis of 141 publications.