Undergraduate Teaching Assistant for LING 2100, Introduction to LinguisticsGrading assignments and exams, providing timely feedback, and answered student questions to facilitate understanding and success. Writing exam and assignment questions to assess students' understanding of the class content.Semesters in this role:Spring 2024Fall 2024

Conducting and transcribing sociolinguistic interviews to collect data on diachronic shift of the Southern accent and identity in Georgia.Conducting statistical analysis and proving qualitative insights of collected linguistic data using Python and R.Collaborating with other student researchers and led new students in their research.

Designed and implemented a robust Python-based email classification system using fuzzy search algorithms, achieving 100% accuracy in classifying invoice emails based on similarity to known templates.Significantly improved efficiency of downstream processes by enhancing system robustness, flexibility, and reliability in the same project, reducing misclassification and the need for human maintenance and intervention.Authored comprehensive Cucumber tests in Gherkin for Javascript module, enhancing reliability of an automated payments system.Leveraged learning and networking opportunities through Visa University and intern/new-hire programs to extend my understanding of the payment ecosystem and responsible use of Generative AI.

Participated in a 10-week internship in order to solve technical problems using Artificial Intelligence and Machine Learning techniques by attending lectures and completed hands-on programming assignments. Completed a final project to develop and train deep learning game playing algorithms to compete in a game of capture the flag.

Enhanced missile mission planning using MATLAB by developing features to visualize radar coverage at any altitude, implementing multiple graphical representations, and ensuring data integrity through defensive programming.Developed modular trajectory plotting tools and optimal control utilization capability to improve dynamical systems modeling for threat trajectory analysis.Led setup of GitLab CI/CD pipeline to facilitate streamlined code integration, maintenance, and testing.

Researched with the Natural Language Processing Lab (under Dr. Wei Xu) to annotate data for error identification for phrase-level text simplification models.

Researched and implemented autonomous microrobotics control algorithms using electromagnetic technology.Developed Python GUIs and converted control algorithms from MATLAB to Python. Assembled, installed, and tested PLA and SLA 3D printers.

Modernized and restructured internal networking website utilizing PHP, CSS, and HTML.Resolved employee technical concerns as internal tech support.

Analyzed image data from magneto-optics experiments using MATLAB.Originally awarded the internship through the United States Naval Academy SEAP Internship program, but SEAP was canceled due to COVID-19 measures. Independently worked with my SEAP mentor on his current projects.