Owned and implemented backend for a web service allowing users to create and manipulate tracking data on real world maps.

Designed and maintain a system to automate running inference and analysis on machine learning models.

• Implemented solutions to reduce cloud costs and human labor hours necessary to produce primary deliverable.

• Researched and integrated data pipeline improvements; optimized database management; formatted and organized data as parquet on S3.

Built an infrastructure library for ETL pipelines which enabled complex series of Spark transforms to be easily constructed and run locally.

Built a Python SDK to simplify protein analyses and existing workflows.

Designed and implemented tooling to automatically generate standardized reports from lab work.