I am a Computer Science & Accounting student at North Carolina State University (expected graduation May 2030). I specialize in intelligent software engineering, machine learning research, and financial data pipelines.
Currently, I conduct driving safety & eye-tracking research as an Assistant at the Applied Cognitive Psychology Lab. Previously, I quantified Arctic geomorphology data at Dartmouth College, rebuilt nuclear emergency simulation engines at RTI International, and prepared federal/state returns at Tax Guru.
My key software projects include DataCollector / DocUvis (an AI-native tax intake platform), a 90%+ accurate Payroll AI Email Classifier, and a deep learning Greenland ConvLSTM Model for satellite climate forecasting.
I am a NASA Space Apps Global Nominee & Raleigh Local Lead and a Global Intel AI Festival Semi-Finalist. My technical stack spans Python, Java, C++, React, Django, PyTorch, & Docker.