Worked on development of an R API for Stanford University's 'Web-CDI', a project for the web-based administration of the MacArthur-Bates Communicative Development Inventory (http://mb-cdi.stanford.edu/). As part of this role I:

• Directly implemented API functionality using R plumber

• Dockerised the API for easy deployment and management, even by non-technical users

• Deployed the API to AWS using the Elastic Container Registry and Elastic Beanstalk to allow scalability

• Documented functionality and deployment instructions so the project can be worked on by other employees easily.

Other clients:

• Dockerised multiple Django web applications to allow applications using different Python and Postgres versions to be deployed to the same server to save the company significant server costs

• Deployed these to Digital Ocean droplet

• Configured Dockerised Nginx reverse proxy to route traffic to the Docker containers

• Designed and implemented on-site redundant data storage system, reducing risk of data loss due to hard drive failure, which would cost the company significant amounts of money.

• Conducted Linux server setup and configuration, saving time from assigning another employee to learn the process.