Los Angeles, CA
CS student · AI research · AI for social good
I'm a computer science student transferring to USC in spring 2027. I work at the intersection of AI research and AI for social good.
Currently I'm preparing my research for publication. It looks at how biometric signals relate to stress while students program, with the goal of making learning tools that adapt to how students are feeling.
Over the past two years, I've worked to make tech more accessible to community college students. I helped launch UC Berkeley's Data 8 data science curriculum at Merced College and led workshops using TinyML on Arduino to introduce students to embedded AI. I'm transferring to USC to keep pursuing this work.
A system where you draw letters in the air with a TinyML microcontroller and a neural network guesses what you wrote. Building on HarvardX's magic_wand application, I tracked the board's motion to draw characters on a computer canvas, used an Arduino Uno with buttons to save or clear drawings, and sent each saved image to a pre-trained convolutional neural network for a prediction.
Handwriting recognition models need a lot of labeled samples to train on, and I couldn't find a good public dataset, so I built a tool to make my own. The Character Annotator lets you draw characters, label them, and save them as a dataset that plugs straight into PyTorch.
Shared a student's view of bringing Berkeley's Data 8 curriculum to a community college, and was selected for a follow-up interview based on those insights.