Sam Keller

Skills

• Programming Languages:
  Python, JavaScript (Node.js), Java, Perl, REALbasic, Scheme, IDL
• Cloud Infrastructure:
  Amazon Web Services, Linode, Google App Engine
• Web Tools:
  Docker, Terraform, Celery, RabbitMQ, Supervisor, uWSGI, Gunicorn, Nginx
• Web Frameworks:
  Express.js, Django, Dropwizard, Flask
• Databases:
  MySQL, SQLite, PostgreSQL
• Logging & Monitoring:
  Splunk, New Relic, Sumo Logic, Sentry

Work Experience

• Using Typescript, React, and Node.js to build the most efficient digital freight network by reducing the number of empty miles driven by truck drivers

• Led a team of 6 engineers to modernize the Medicare Payment Systems by converting COBOL applications running on mainframes to APIs written in Java and deployed to AWS
• Interim hiring manager for software engineering roles while the Director of Engineering was on leave
• Left Nava to pursue dream of doing a long distance bicycle tour

• Tech Lead for the team working on the Submissions API, an award-winning API that is the backbone of the Quality Payment Program, the largest modern change to Medicare
• Built high-performance web applications hosted in AWS with Node.js, Docker, Terraform, and MySQL

• Continued to lead and oversee all development for Fenix's Django-based web application that powered Fenix's ReadyPay financial platform
• Directly managed four other Software Engineers and one Data Scientist
• Led integrations with telecoms across the African continent to provide Fenix’s platform in multiple countries
• Strategized with Product Managers to outline the future of Fenix's technology

• Led Python web application development for Fenix's ReadyPay financial platform that enabled Fenix to provide rent-to-own solar energy systems to off-grid customers
• Administered cloud infrastructure with AWS tools (EC2, RDS, S3, Route53) and performed DevOps work as needed, including executing deployments and solving emergency production issues
• Mentored Junior Software Engineers and reviewed all code changes submitted to project's repository

• Developed the next generation cross-platform forensic analysis tool, BlackLight, in REALbasic.
• Reverse engineered numerous Mac and iOS application data stores to pull relevant information from system images and display to users in an effective manner
• Developed and debugged Perl scripts for BlackBag’s native eDiscovery solution
• Lead architect on Python-based automation testing system using the visual technology Sikuli Script

• Taught high-achieving middle school and high school students
• Explained basics on the physics of light and waves to an average class size of 14
• Collaborated to plan lessons, organize activities, and evaluate student progress with other student teachers

Schools

• GPA:
  3.72
• Senior Thesis:
  The Physics of Wireless Energy Transfer
• Relevant Coursework:
  Data Structures, Programming Languages, Software Design, Computer Simulations of Complex Physical Systems