Abstract

This document specifies the professional profile of Court Schuett, 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.

1 Roles

Court has recently worked the following roles throughout a career going back to 1999.

1.1 05/2025-Present - Principal Specialist SA, GenAI - AWS

Leading enterprise-level engagements focused on Generative AI implementations using Amazon Bedrock, Claude, and other AWS AI/ML services. Working with customers to architect and implement solutions leveraging Large Language Models (LLMs) and other AI technologies. Creating and maintaining open-source projects and technical content to help customers understand and implement AI solutions.

1.2 10/2024-05/2025 - Member of Technical Staff - 8090 Inc.

Worked with portfolio companies to develop and implement AI/ML solutions, focusing on implementing Large Language Models (LLMs) and other AI technologies. Built reusable CDK constructs that accelerated customer POC deployments from months to days or weeks. Developed Model Completion Protocol (MCP) standards to ensure code consistency across projects. Mentored and educated junior developers, helping them improve their skills and knowledge. Created internal products that streamlined customer onboarding processes.

1.3 2023-10/2024 - Principal Specialist SA, GenAI - AWS

Led enterprise-level engagements focused on Generative AI implementations using Amazon Bedrock, Claude, and other AWS AI/ML services. Worked with customers to architect and implement solutions leveraging Large Language Models (LLMs) and other AI technologies. Created and maintained open-source projects and technical content to help customers understand and implement AI solutions.

1.4 2022-2023 - Senior Developer Advocate - AWS

Expanded awareness of the Amazon Chime SDK and its capabilities to customers, helping them understand how to use the Amazon Chime SDK effectively. Worked with the Amazon Chime SDK service team to create and refine features. Created demos that allowed customers to learn how to use the Amazon Chime SDK and understand its capabilities. Created open-source artifacts that have been deployed thousands of times with numerous forks. Developed and published CDK constructs to support deploying the Amazon Chime SDK via CDK, with resources in active use within AWS and externally averaging over one thousand weekly downloads.

1.5 2020-2022 - Senior Specialist Solution Architect - AWS

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, 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. 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. 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.

1.6 2020 - Distinguished Member of Technical Staff - Verizon

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.

1.7 2018-2020 - Distinguished Solutions Architect - Verizon

Continued to work with high-profile customers to assist with both Pre-and Post-Sales opportunities for highly complex situations. Expandeded and simplified 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.

1.8 2006-2018 - Principal Solutions Architect - Verizon

Worked with high-profile customers to assist with both Pre-and Post-Sales opportunities for highly complex situations. Expanded simplification of processes for services to bring products and services to market and customers faster and easier. Developed and tested configurations to deliver SIP trunking to multiple customers.

3. Key Accomplishments

Developed reusable CDK constructs enabling rapid customer POC deployments, reducing implementation time from months to days

Created and implemented Model Completion Protocol (MCP) standards to ensure code consistency and quality across projects

Mentored and educated junior developers, helping to improve their technical skills and accelerate their professional growth

Developed internal products to streamline customer onboarding, significantly reducing time-to-value for new engagements

Created and delivered technical workshops at re:Invent 2022 and 2023, reaching thousands of developers globally

Presented technical content at multiple industry events including AWS summits, Enterprise Connect, Contact Center Week, and AWS Heroes Summit

Successfully led engagements with Fortune 100 customers, delivering enterprise-scale solutions

Created and maintained extensive portfolio of open-source projects with significant community adoption

Developed key features for Amazon Chime SDK, contributing to core service functionality

Hosted weekly technical Twitch stream, generating thousands of views and building developer community

Architected and implemented 4,000-location SBC and Call Routing solution, demonstrating large-scale deployment expertise

Led development of SBCaaS (SBC as a Service) product using OpenStack virtualization, achieving first-to-market status

Published multiple AI/ML applications leveraging AWS Bedrock, Whisper, and other cutting-edge technologies

Created comprehensive infrastructure-as-code solutions using AWS CDK for authentication, API deployment, and AI/ML workloads

Maintained technical blog at subaud.io covering cloud architecture, AI/ML, and infrastructure automation

4. Technical Publications

AWS Logs MCP - AI Assistant Tool for AWS Troubleshooting
https://github.com/schuettc/aws-logs-mcp
Open-source Model Context Protocol (MCP) server enabling AI assistants to securely access and query AWS CloudWatch Logs and CloudTrail Events

Anthropic on AWS - Integration Resources & Demos
https://github.com/aws-samples/anthropic-on-aws
Comprehensive collection of examples, demos, workshops, and resources for leveraging Anthropic Claude LLM capabilities on AWS platforms

Hosted Whisper Streaming for AI/ML Audio Processing
https://github.com/schuettc/hosted-whisper-streaming
Implementation of real-time audio transcription and processing using OpenAI's Whisper model

CDK Bedrock Knowledge Base Implementation
https://github.com/schuettc/cdk-bedrock-knowledge-base
Reference architecture for building AI-powered knowledge bases using AWS Bedrock and infrastructure as code

Live Call Analytics with AI Services
https://aws.amazon.com/blogs/machine-learning/live-call-analytics
Technical guide for implementing real-time call analytics using Amazon language AI services

Secure S3 Image Uploads with Cognito Authentication
https://github.com/schuettc/secure-s3-cognito
AWS CDK implementation for secure image upload and retrieval using Amazon Cognito authentication and S3 presigned URLs

Amazon Chime SDK Call Analytics Producer
https://github.com/aws-samples/amazon-chime-sdk-call-analytics-producer
Reference implementation for real-time call analytics and processing using AWS services

CDK Amazon Chime Resources
https://github.com/cdklabs/cdk-amazon-chime-resources
Infrastructure as code constructs for deploying Amazon Chime SDK resources, published to AWS CDK community

Call Analytics Real-time Summarizer
https://github.com/aws-samples/amazon-chime-sdk-call-analytics-summarizer
Implementation of real-time call transcription and summarization using AI services

5. Technical Certifications

AWS Certified Solutions Architect - Professional

AWS Certified DevOps Engineer - Professional

AWS Certified AI Practitioner

AWS Certified Security - Specialty

AWS Certified Data Analytics - Specialty

AWS Certified Solutions Architect - Associate