Joe Riggs

Developed distributed applications for monitoring and reporting on time series data with C#, python and React

• Converted 200GB document database to blob storage, decreasing annual costs 95% while scaling and adding backups
• Leveraged Github Actions, Terraform and Azure to create a CI pipeline with automated builds, test coverage metrics, and deployments, tripling release cadence
• Designed and implemented a new data model for time series data, reducing query times by 90%
• Created documentation using Github Pages, sphinx, mermaid and mkdocs, increasing team productivity and halving onboarding time

Delivered personalized in-person and remote instruction of full-stack software development for Java, C#.NET, MSSQL Server, REST API's, HTML/CSS and Vue.js

• Mentored over 150 students, 94% of whom were placed in software development roles within 6 months of graduation
• Developed and delivered curriculum, including 500+ hours of instruction, 100+ hours of projects, and 50+ hours of career development
• Created a 100% remote learning environment, with video conferencing, screen sharing, and pair programming sessions

Built and maintained relationships with customers, providing technical support and training for an ultrasonic data-over-audio platform

• Prototyped apps that integrated an SDK with a grocery chain’s customer rewards API using xCode and Android Studio
• Partnered with a FinTech innovation lab to create an MVP for secure touchless payments using custom hardware
• Reduced a major European retailer's checkout time in half by streamlining their checkout authentication process

Designed and implemented a CRM platform for a healthcare staffing company using Microsoft Dynamics, C#, and MSSQL Server

• Improved client registration process resulting in a 30% reduction in processing time by optimizing UX and APIs
• Architected a continuous integration pipeline in Azure DevOps, decreasing deploy time by 75% and eliminating build errors
• Created an Application Insights dashboard to provide real-time monitoring of system performance and user activity