> Worked with full time employees to redesign, build out, and test a core decision engine that determines if an entity is eligible for ad monetization on Facebook, expected to handle over 10,000 requests per second, and responsible for a total of ~$5 million per day in revenue
> Leveraged internal Hacklang (PHP) and Python APIs to build out workflows for appealing violations, handling high profile actors, and repeat offenders using the new decision engine

Support Leidos' Internal Research and Development (IRAD) team
> Created a geospatial data manipulation and visualization service capable of handling tens of millions of coordinate points using Java and ElasticSearch. Exposed service through a RESTful API using Java and AWS. Integrated service with an existing Angular application.
> Wrote a custom filesystem to mock image data from a server as a local image file, allowing an image viewer to ‘stream’ an extremely large image as the user pans around.

Refactored the Biological Macromolecule Crystallization Database
> Migrated site to Laravel framework
> Worked with MySQL and PHP to improve database data collection process
> Developed algorithm to identify chemical reagent names from plaintext