My team faced an issue where they relied on a 3rd party library and needed to send requests to them whenever we needed to update anything in the data model. So I worked up a solution where we would be able to generate the data model locally, so when we needed to make an update, we had direct access. As a result, update processes reduced from ~3 days to just ~30 minutes.

Updated an outdated Python script to perform the function of generating thousands of C++ class header files.

Wrote basic unit tests with the GoogleTest framework to ensure the functionality of C++ source code.