Development of web software projects and tasks, using scrum and agile methodologies.
Creation of development assets including diagrams, wireframes, user flow, and component design.
Setting up and maintaining websites through Capistrano, Docker, AWS, Linux, and macOs
Primarily backend development on Evidation's clinical research platform. Providing custom development support to study builders. Product development including finite state machines, API development, external API integrations, and dealing with large data.
Full stack development of tools and components on Zaarly’s home services professional market platform using shape up methodology and data to measure success. Responsible for implementation of features, data metrics tools, automation, and helping Zaarly to scale to new market places.
Full stack web development in Ruby on Rails and React.js. Maintained uptime through deployments. Modernizing the front end framework. Managed large datasets. Implemented and improved the public and private JSON API.
Development of Ruby APIs using Rails 5 micro-services and Angular. Team lead for CloudAssessments and CloudCraft. Responsible for holding daily stand ups, code reviews, and continuous deployment.
Full stack web development of a medical screening application using Angular2+, and Ruby on Rails. Responsibilities included creating APIs, Front End web components, Design implementation and deployment using Capistrano.
Development and implementation of front end web components for B2B E.R.P. Software as a service, using Angular.js. Experience working with existing APIs. Front end build systems, and Design implementation.
Development of interactive web applications, in PHP and Ruby on Rails. Command line scripting automation for prepress systems. Development of email marketing news application for syndication of news to subscribers.
Worked on a student lead team to gather user research, create information architecture, and design a new CMS based website for the College of Arts and Sciences at Ferris State University.
Developed and released an independent iOS application written in Objective-C that helped users read faster by reducing saccadic eye movements by displaying single words in succession. Speed Reader