I graduated from UC Irvine in Computer Science, and I’m eager to build AI-driven, data-centric, and interactive systems for scientific and educational applications. My interests include applied machine learning, computer vision, scientific visualization, metadata systems, and full-stack development.

My background is in computer vision, full stack engineering, and model evaluation. Recently, I worked on a project with the University of Arizona and the Planetary Science Institute, where I used OpenCV, YOLO, and EfficientNet to help automate slope streak detection in Martian imagery, and our abstract is currently submitted to the AGU Fall Meeting. I also have experience assessing generative multimodal models as an AI Evaluation Fellow at Handshake AI, and developed ML pipelines for music generation with the Deepiri open-source collective. I’ve also led software development for Students for Patients Advocacy Nationwide, a healthcare nonprofit, building automations and features for members, and I previously participated in NASA’s NPWEE program, where I collaborated on an innovative proposal for a 3D printing system in microgravity environments.

I’m excited to connect and collaborate on projects involving machine learning for scientific data, structured metadata and reproducible pipelines, and visualization or interface tools that support open science and space biology research!