Implemented a new win prediction algorithm and ML model in Java, improving accuracy by 6%.

Built data pipelines to analyze player engagement with progression systems using PySpark and Tableau.

Developed a library to dynamically generate components in TypeScript based on a HTML string input.

Created microservice to interface platform with our largest client's hardware

Implemented architecture to allow for efficient autonomous vehicle simulation across computing clusters.

Continued development on internal tools to allow for quick iteration and to ensure compatibility with hardware using Docker.

Created Prometheus metrics to track the performance of various API endpoints and cron jobs.

Updated Backbone.js and React frontend alongside Tornado backend for various internal tagging tools.

Wrote cron jobs in Python to prioritize product tagging impacting over $20 million of annual revenue