I'm currently based in Bethesda, MD, originally from NYC and Utah. I spent several years in Northern Virginia working as a Risk and Controls Analyst before pivoting into data science. That journey began with coursework at Georgetown University, which sparked a deeper interest in the math behind machine learning and led me to complete a Master’s in Applied Statistics at CSULB.
My current focus is on computer vision research, specifically improving object detection performance on class-imbalanced datasets using Generative AI. I'm especially interested in how synthetic data can be used to augment limited samples and enhance model robustness.
Before returning to school, I took some time to reset and reconnect with nature completing two long-distance thru-hikes: the Arizona Trail (which was amazing until the rattlesnakes came out in April 🐍 ) and the Oregon Coast Trail 🐳 🌲.
This GitHub is where I share my research, side projects, and ongoing experiments in data science, deep learning, and computer vision.
📫 Let’s connect or collaborate! The easest way to reach me is via email