Maintained the Customer API, which enables Asurion applications with customer data and processes millions of requests dailyExposed customer complaints in the Customer API by collaborating with complaint data team, updating the existing GraphQL schema, resolvers, and datasources, writing unit/integration tests, and deploying to non-productionResolved security issues for the Customer API’s AWS lambda authorizer by working with the Enterprise APIs team and utilizing AWS resources to update… Show more Maintained the Customer API, which enables Asurion applications with customer data and processes millions of requests dailyExposed customer complaints in the Customer API by collaborating with complaint data team, updating the existing GraphQL schema, resolvers, and datasources, writing unit/integration tests, and deploying to non-productionResolved security issues for the Customer API’s AWS lambda authorizer by working with the Enterprise APIs team and utilizing AWS resources to update the lambda code, send requests, monitor logs, and deploy changes Show less

CS 2201: Program Design and Data Structures, Fall 2022CS 3251: Intermediate Software Design, Spring 2023

Assisted a graduate student on a project that explores developing a machine learning model that uses the 3D features of the molecules in natural product datasets to accurately predict their bioactivity; compared the molecular weights of various molecular datasets to the NPAtlas natural product dataset and investigated how well the machine learning algorithm works on those datasetsWorked on an independent research project that explores the initial steps of developing a machine learning model… Show more Assisted a graduate student on a project that explores developing a machine learning model that uses the 3D features of the molecules in natural product datasets to accurately predict their bioactivity; compared the molecular weights of various molecular datasets to the NPAtlas natural product dataset and investigated how well the machine learning algorithm works on those datasetsWorked on an independent research project that explores the initial steps of developing a machine learning model that use reinforcement learning and variational autoencoders to predict the molecular structure of a potential natural product given the NMR spectrum Show less

Worked on existing project that uses multiscale molecular simulations to model the stratum corneum at the nanoscale levelStudied how the ceramide head group structure and lipid tail lengths affect various properties of the stratum corneum using the HOOMD-Blue simulation engine, Python libraries, Jupyter Notebook, and a supercomputer