- Worked for a year in the lab on multiple projects. My main contributions have been to EyeReckon, an AI-powered app that identifies rare objects inside dash cam footage. I worked extensively with Flask, PyTorch, YOLO, Docker, OpenCV, and Python.- Expanded route functionality, optimized processes, documented procedures, labeled and fine-tuned YOLO, and conducted extensive testing to enhance the end-user experience. Additionally, I designed and built a custom tracker evaluation suite using EyeReckon data, further improving the app's functionality.- Reconstructed a foreign machine-learning repository to get it running on LAS hardware for evaluation. The work focused on combining a large language model and a Knowledge Graph to make a news recommender.

- Worked in a team of 3 with the objective to improve the ultramicrotomy process for the Elting group. The main issue was maintaining order of 50-70 nanometer thin resin slices that float on water. The solution we went with was creating an AI that would identify and track slices with cameras, complete with a functional UI made in PyQt.- I acted as the teams reliability engineer and software designer. I fine-tuned YOLOv5n using our own collected dataset, and achieved 85% accuracy in detecting slices. I also created the backend for the program, writing the infrastructure that the UI hooked into.

- Created a database of over 500 NCSU Physics Department alums to track every alumni's career paths over the past 25 years.- I made this database inside Google Sheets/Excel. I featured a search page that allows a user to input an alum and returns a list of every degree and job ever held by that alum (reliant on public and some testimonial information). Many graphs automatically update based on the data from the sheet, which I used to create specific reports for graduates to assist in finding a job. I also made a scraper tool to hook into the sheet and automatically update entries.- Since my departure, this database has continued to be a valuable resource, with multiple interns now dedicated to its maintenance. Its extensive usage underscores its importance, providing valuable insights for recent Physics graduates on how to navigate a complex job market for degree holders.

Internship under Dr. Suman Sinha Ray at NASA Glenn working on dynamic differential microscopy (involving image processing of data to avoid having to use DLS techniques, and instead using optical microscopes). Skills involved include Python, MATLAB, Machine Learning through Gaussian Process Regression and image analysis, and applications of linear algebra.*Also assisting in designing and creating an automated sample tray for a microscope that can be controlled remotely.

Skilled tutor with experience ranging from Pre-Algebra to Calculus II. I have also started expanding into tutoring introductory physics courses.