• Built, tested, and deployed an interface to interpret 7 different Alexa Shopping language model outputs for internal analysis.• Added new API endpoints to an AWS Serverless backend to support new features to the tool such as model overrides and switching language packs.• Performed user study, implemented enhancements with beta testing out into production. These new features are used by managers, data scientists, and developers across the organization.

• Implemented Frontend and Backend tooling such as GitHub, Flask/Python, and React/JS to query an existing mssql database and display vital marketing data. • Improved coverage of an existing backend testing framework, and added logging capabilities in a backend Flask application from scratch using python packages and features on Azure’s Python SDK.

Wrote and tested a C++ program to time network packets in a Software Defined Network (SDN).Used multiple Raspberry Pis and real time clocks for accurate timing across the network. Presented my research and findings to a panel of judges at the end of the term.