Software engineer on the Intelligence team. Tasked with building and maintaining the backend services for Gryps, which involves building and improving the AWS Neptune and OpenSearch powered knowledge graph, which leverages AI to provide insights on customer data. Day-to-day responsibilities involved writing code, creating tickets, architecting services, performing code reviews, and participating in the sprint process.

Working on the People Engine team at HQ2.

Teaching assistant for Introduction to Computer Science: CSE 131 (Fall 2019)

Teaching assistant for Introduction to Parallel and Concurrent Programming: CSE 231 (Spring 2020)

Teaching assistant for Programming Languages: CSE 425 (Fall 2020)

Developed document categorization application to identify misclassified documents and derive version number via an n-gram hash map word accumulator along with other identifying characteristics, utilizing Java on Spring framework and SQL.

Solved problem of misclassified bond documents being inaccessible for machine learning models that depend on correct classification and version to extract pertinent information for traders.

Classification system was 98% accurate on test sets, and classified over 4,000 un-categorized documents

Leveraging my knowledge of HTML/CSS, Javascript, and D3.js, I utilized pertinent HIV/AIDS and Hepatitis C data in New York State and New York City to create interactive data visualizations for the End the Epidemic Dashboard, a website with the goal to disseminate important information about HIV/AIDS to relevant stakeholders of varying medical backgrounds.