Writing scripts in SQL and Python to query databases and find discrepancies in AI model data. Using PostgreSQL and DBeaver for querying. Quality testing Scout app to prepare for full release.

Ran quality assurance testing for website and AI model, performed statistical analysis on AI data, designed company branding guideline, laser engraved signs for AI assistance, held meetings, participated in sales pitches

Developing pose estimation computer vision for "dialedIN", an application to record and analyze golf swings from UC Davis Women's Golf team in real-time. Implemented in Python using TensorFlow.

Conducting independent research on machine learning model collapse through artificially generated data, using random forest and linear regression models. Implemented in Python. Working with Professor Nicholas Weaver as research advisor.

Bussed tables, served food, assisted servers, worked storage room, operated lights + heaters

Internship at agricultural technology company dedicated to reducing water usage in vineyards and other farms by monitoring water usage through technology and data-driven methods.

UCSB Summer Research Academies that involved computer science and math education and research project. I researched, submitted, and presented a paper to identify Martian craters by applying a Convolutional Neural Network algorithm trained on a Lunar digital terrain model and using Martian satellite imagery. The updated model successfully detected craters in its tests, providing a reliable source for detecting small Martian craters in the future.