Cost Descriptions- Wrote Java APIs that return critical cost description information per product. Descriptions were displayed for thousands of AppDirect customers.

Discounts- Created pop ups using React framework to alert users when a discount is applied to an item in their cart. Aided in the development, design, and vision of alert display.

Cart Validations- Developed alerts and modals to display validation errors when a shopping cart is not valid. Made robust API calls to determine item eligibility and built a mobile responsive modal for our internal company library utilizing CSS and the styled components framework.

Established Women of AppDirect, a company-wide, international club dedicated to bringing the women and non-binary folk of AppDirect together to develop community and foster connection.

Wrote a Go package that meters usage for one of our services by recursing through an n-ary tree and then sends usage through internal REST Api calls to pricing team.

Used Spring Boot (Java) framework to write integration tests for a metering filter to test mock usage.

Developed Jenkinsfiles to automate the deployment process of several services across multiple environments.

Took on the role of Technical Project Manager for my team by leading retrospectives, sprint plannings, and by maintaining our team rally board.

Developed a project titled rectools- a recommender system package that incorporates covariates in consumer predictions. Utilized a latent factor model to predict specific user ratings, as well as leveraging method of moments, maximum likelihood, and nearest neighbor predictions. Rectools is 13% more accurate that the leading tool (recosystem) and takes 1/10 of the time. Details about results can be found at: https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Rectools-An-Advanced-Recommender-System

Also includes recosystem (non-negative matrix factorization package in R) but parallelized. All functions are parallelized.

Use software to analyze texts for probabilistic information about semantics and grammar. Focus on prediction in language processing by parsing data and merging results with the UCD database. Predict language processing and textual analysis through lexicalized PCFG software.