Worked on Azure's Machine Learning platform, working on the model registry, operationalization, MLOps, and v2 of the platform.

Created a workshop series for recruiting, resulting in an average 15% increase in first round interview pass rate. Presented workshop at the Tapia Conference Celebration of Diversity in Computing in 2020.

• Designed and built full-stack web application to customer specifications to assist in the efficient and secure creation of large training data sets for image classification; shipped prototype to partner for successful validation.

• Integrated with Azure Active Directory to allow customer partners to securely log in, view and label confidential image datasets.

• Created web interface in React/Redux for display and labelling of dataset, built API to fetch images from Azure Blob storage for labelling.