Thomas Cramer Email & Phone Number

San Francisco Bay Area

Once again in helping in a healthcare related company, I took to task helping in the automation and polishing of an existing infrastructure with goals to improve deployment velocity and consistency and durability. One of my first tasks was the deployment of a ELK stack (elasticsearch, kebana and logstash) to allow for monitoring and centralized log collection on ephemeral machines (i.e AWS’s auto-scale clusters). Also I spent a good bit of time stream lining and augmented the dates deployment system they had for managing ansible deployments in an auto scaling environment. This had the added challenges of trying to make improvements while not impacting deployments in a versioned and multi-tenant environments. It was not uncommon for a customer to be utilizing a version of the core company product that was a year old, so the deployment code had to maintain the deployment of different versions of the company’s core product automatically (e.g. an auto scaling event were to happen) or during a patch deployment or upgrade or initial deployment. To that end I had started the adoption of deployment validation testing and as well as trying to integrate a more test oriented development mentality in the team. Though I was not able to complete it, I had begun the process of designing a kubernetes. With then recently announced EKS setup on AWS, I had started the buildout of a small proof of concept. The utilization of the EKS setup would greatly simplify the deployment process as well as remove from the mix custom scripts and automations.

San Francisco, California

As one of the founding engineers, built everything from prototypes to the current production infrastructure. My biggest achievements have been around migration of the original infrastructure over to Docker (we were one of the early adopters of Docker) as well as our testing and development environments. It quickly demonstrated to be not only to be a great resource from an infrastructure standpoint. The developers quickly embraced using Docker as a development tool and improved the testing of code with staged infrastructure components allowing for deployments to be expedited with greater confidence. From the inception of PokitDok, I’ve been one of the lead architects for the company’s primary platform, specifically in the backend setup and database design. Working in any startup, engineers wear find they must wear many hats, so I’ve also worked on early prototypes from coding on iOS to front-end website work with CSS and JavaScript to processing and loading up new data sets and helping with curation of statistics. And as the company matured I got the opportunity to work with other companies that engaged to PokitDok and aided them to integrate or help develop solutions that addressed their needs.

BelifNetworks was acquired by BenefitFocus, and we became the core of their Research and Development Team. As a member of the R&D team, focused on optimization and improvement of the benefits enrollment process. Helped to introduce Amazon’s AWS into Benefitfocus, and did their first Hadoop setup and programming for batch processing of enrollment data into a semantic model.

First engineering employee. Managed devops and programming responsibilities for the semantic machine learning platform we developed. Was my first startup, and quickly learned and adapted from working in a large IT industry setup, to doing actual development and to do so from a blank slate and build everything from scratch.

Charleston, South Carolina Area

Provided support for all account management systems. Redesigned and automated the account systems and implemented their identity management system. Much of my work was fueled by and they were able to achieve HIPAA compliance.