Research internship with the Mason Experimental Geometry Lab where I researched how to optimally embed semi-homogenous trees within the hyperbolic disk. I was responsible for generating visualizations of the semi-homogenous trees of alternating degrees inside the hyperbolic Poincaré disk model and the Upper Half-plane model using Python.

- Developed a centralized search engine for vulnerability detection, with React, Node.js, MySQL, Flask, and REST APIs.- Utilized PyTorch and BERT for sentiment analysis of open source posts.- Hosted website on AWS EC2 servers with a MySQL RDS hosted on AWS- Utilized Jira to follow a Scrum development process

High School Capstone Internship; Managed an inventory using Microsoft Excel of equipment andhardware systems; Trained in Attitude Determination and Control Subsystems (ADCS) and OrbitalMechanics procedures for launched satellites via the Iridium NEXT 9 launch.

As a Virginia Aerospace Science & Technology Scholar, I was able to learn about the different engineering aspects of NASA and the engineering and planning that goes into the missions NASA conducts. Over the summer I was able to work together with a team and 4 other teams to create a human mission to Mars with each team being in charge of a specific aspect of the mission design process.

As a Qubit by Qubit (QxQ) student, I was introduced to the science behind quantum computers and learned about the linear algebra that drives quantum physics and quantum computing. I learned how to code for quantum computers using IBM quantum and worked together with peers to solve problems using quantum computing.