Design and provision AWS cloud resources for health data infrastructure using Terraform. Develop and deploy RESTful an DICOM-based back-end services using Python.

Developed tooling in Python for de-identifying and inventorying millions of x-ray images. Wrote software in Python for the preparation and processing of thousands of images and metadata as part of a successful medical device clinical trial.

Simplified our internal data interfaces to allow all engineers to analyze raw data by creating an OLAP database using MongoDB, AWS EC2, and Python

Created and maintained a repository using Python where anyone could create and share ML pipelines, with the end goal of creating a packaged data product

Developed a data pipeline using Python, EC2, and S3 in order scale our packaged data product both nationally and internationally

Built a mobile iOS app and SDK for in-game social media experience in addition to a REST API and Socket.io backend using Python and PostgreSQL

Designed and implemented web-app end to end using Javascript, React, and Python for sports teams to monitor real-time geotagged social media emerging from their stadiums during a sporting event