• 10 week research program under mentorship of professor, work involved data extraction and graph construction

• Read and presented related research papers weekly (Graph Neural Networks, Transformers, NLP)

• Utilized the MIMIC-III database in Python scripts to create a patient mortality prediction graph

• Python scripts involved extracting and parsing relevant information, calculating similarity scores between patients, and building a feature vector matrix

• Maintained and monitored the functionality of the team's virtual machines, updated these machines through the use of Helm

• Became familiar with Docker and Kubernetes in order to assist with the deployment of the company's images

• Other work included writing bash scripts and modifying XML files

• Assisted web development team by running automated web browser tests to ensure website functionality across multiple browsers (Chrome, Firefox, IE), using Selenium, a Java-library extension

• Learned HTML and CSS knowledge in order to access and manipulate elements on the webpage