Oversaw over 40,000 patrons at the John Wooden Recreational Center by supervising a team of 80 consultants and supervisors responsible for organizing, cleaning, and maintaining the facility. Coordinated gym equipment maintenance by ordering replacement parts, tracking delivery, and ensuring swift repairs. Improved upon implementation of programs, services, and quality initiatives by preparing a thorough activity report each week.

Assisted the research head with deploying data and training a graph neural network combining DGL and Neo4j. Conducted a social analysis among an interconnected network of over 60 students across three DataRes organizations using semi-supervised node classification and graph convolutional networks over a graph database. Orchestrated the deployment of a cumulative characteristic survey to collect organizational data and conducted rigorous data cleaning with pandas, enabling its seamless integration into a GNN model for predictive accuracy of 91%.

Established a framework to implement and correct an OCR image recognition model for a startup wine recommendation app. Developed a Flask app by incorporating boto3, AWS, and difflib to present users an image of a wine label with OCR model prediction, and allow for a human user to correct and improve the output of the app’s label recognition functionality. Managed communication and workflow with an intern team across three simultaneous projects, utilizing Jira, Confluence, Docker, and GitHub to facilitate seamless collaboration and ensure timely completion of tasks

Coordinated rigorous nitrogen and humidity tests on raw material to ensure compliance with federal standards. Implemented Excel spreadsheets that tracked and analyzed test results, enabling prompt identification of deviations and defects in the production process, resulting in 100% organic approval of outbound product.