Member of Technical Staff
Court Schuett
Telephony Expert
GitHub
Court is a highly skilled technical leader specializing in AI/ML implementations and cloud architecture. With extensive experience in both building and teaching, Court has demonstrated expertise in developing enterprise-scale solutions using cutting-edge technologies. His work spans from traditional enterprise systems to modern AI/ML implementations, with a particular focus on practical applications of Large Language Models and cloud-native architectures. Court maintains an active presence in the technical community through open-source contributions, technical writing, and public speaking.
Working with portfolio companies to develop and implement AI/ML solutions. Focusing on implementing Large Language Models (LLMs) and other AI technologies to solve complex business challenges. Providing technical leadership and expertise in areas including artificial intelligence, machine learning, and cloud architecture.
Led enterprise-level engagements focused on Generative AI implementations using Amazon Bedrock and other AWS AI/ML services. Worked with customers to architect and implement solutions leveraging Large Language Models (LLMs) and other AI technologies. Continued to create and maintain open-source projects and technical content to help customers understand and implement AI solutions.
Court worked to expand awareness of the Amazon Chime SDK and its capabilities to customers and help customers understand how to use the Amazon Chime SDK. As part of this, Court worked with the Amazon Chime SDK service team to create and refine features for the Amazon Chime SDK. Court was able to use his DevOps skills to create demos for customers that allowed them to learn how to use the Amazon Chime SDK as well as understand its capabilities and the ‘art of the possible’. Among these open-source artifacts are demos that have been deployed thousands of times with numerous forks. Additionally, Court developed and published CDK constructs to support deploying the Amazon Chime SDK via CDK. These resources are in active use within AWS and externally averaging over one thousand weekly downloads.
Court worked on the Amazon Chime SDK team as a Solution Architect to create awareness and assist customers with wide range of complex VoIP and WebRTC solutions using the Amazon Chime services in conjunction with other AWS services. Additionally, Court worked with the Amazon Chime SDK Service Team to develop new features, troubleshoot issues, and write documentation for publication. This included writing the blog and code for multiple feature releases and demonstrations for publication on GitHub and AWS blog site. He collaborated with colleague on Twitch stream that resulted in thousands of views and conducted internal training to teach other Solution Architects key concepts in VoIP, coding, and CI/CD processes. Court developed best practices and guides for customers when using Amazon Chime Voice Connector services to integrate with various PBXs including Cisco Call Manager and Microsoft Teams.
Schuett
Informational
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Resume
November 2024
Worked as part of Network Planning team to develop infrastructure enhancements for Verizon’s VoIP products. This planning included demonstrations and prototypes of automated deployments to be used with internal cloud computing as well as AWS based cloud computing. Developed and planned for enhanced integrations with other Service Providers and Cloud Unified Communications providers such as Microsoft Teams, to provide more options for customers.
Continued to work with high-profile customers to assist with both Pre- and Post-Sales opportunities for highly complex situations. Expanded simplification of processes for more services to bring products and services to market and customers faster and easier. Added functionality and options to SBC as a Service offering to improve service and capabilities. Used these improvements to begin the work to create a Microsoft Teams integration with Verizon SIP Trunking. Developed and tested configurations to deploy Microsoft Teams to multiple customers using Direct Routing with Verizon SIP Trunking and multiple SBCs. Lead developer for multiple virtual products including a hosted, virtual SBC based on Ribbon and AudioCode SBCs using Azure and AWS infrastructure. Continued Professional Service work for customers in highly complex deployments and in-depth trouble-shooting issues. Developed and coded VBA and Python to support streamlined quoting and contracting for Professional Services offerings. Developed automation tools using Python, Ansible, and AWS to create and configure SBCs and other Voice infrastructure for rapid deployment. As part of special customer Profession Services assignment, designed and implemented 4,000 location SBC and Unified Communications solution that included Ribbon SBC and PSX infrastructure, multiple UC clusters, and multiple carriers. Developed migration plan and completed migration of those locations.
Responsible for leading both customer sales and product development within the Unified Communications market. Regularly brought in to support high-profile customers with complex designs and sales. Worked with those customers to understand their requirements and offer solutions customized to their needs. Developed documentation and tools used company wide as part of training programs used by 200+ Architects. Developed and engineered products using virtualization that led to Verizon being a first-to-market provider of hosted SBC as a Service. Brought in for Professional Services work for high profile customers as an SBC expert when needed.
Responsible for coordinating and leading training for 100+ Architects. Directly supported high profile customer designs and sales for multiple regions. Worked with internal Engineering to develop new products and develop standards to be used globally within Verizon. Developed internal and customer facing documentation to train and explain key components of Verizon services.
Responsible for working with Account Teams to design and sell VoIP products to customers. Developed tools and documentation for multiple SAs to use. Designed and closed multiple large accounts sales to maintain consistent sales targets.
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November 2024
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