Worked with the Device Access Infrastructure team to change the way networking jobs are dispatched and executed. Built on native AWS, the project offers reliability and scalability, while also increasing performance by 4x and reducing database (DDB) operational cost.

Added new functionality for Amazon's internal data ingestion platform. Independently designed and implemented a notification system in Native AWS that notifies data pipeline owners of their

pipeline lifecycle, saving dozens of SDE hours each week.

Conducted exploratory data analysis on real-life patient and disease data. Used Databricks notebooks to transform and clean large datasets in preparation for use in ML model training.