Table of Contents

1. Introduction

This document provides a comprehensive specification of the professional qualifications and technical expertise of Court Schuett, formatted in accordance with RFC standards as defined in RFC 7322 [RFC7322].

The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 [RFC2119].

2. Terminology

AI/ML: Artificial Intelligence and Machine Learning technologies, particularly Large Language Models (LLMs)

CDK: AWS Cloud Development Kit, an infrastructure as code framework

GenAI: Generative Artificial Intelligence, focusing on content generation using models like Claude and GPT

MCP: Model Context Protocol, a standard for AI assistant tool integration

SBC: Session Border Controller, used in VoIP and real-time communications

3. Professional Experience

3.1. AWS Principal Specialist SA, GenAI (2025-Present)

Leading enterprise-level engagements focused on Generative AI implementations using Amazon Bedrock, Claude, and other AWS AI/ML services. This role REQUIRES deep technical expertise in:

o Architecture and implementation of LLM-based solutions o Development of open-source reference implementations o Technical content creation and community engagement o Enterprise customer advisory and solution design

3.2. 8090 Inc. Member of Technical Staff (2024-2025)

Worked with portfolio companies to develop and implement AI/ML solutions. Key contributions included:

o Built reusable CDK constructs reducing deployment time by 90% o Developed Model Context Protocol (MCP) standards o Mentored junior developers on AI/ML best practices o Created internal tooling for customer onboarding

3.3. AWS Principal Specialist SA, GenAI (2023-2024)

Leading enterprise-level engagements focused on Generative AI implementations using Amazon Bedrock, Claude, and other AWS AI/ML services. This role REQUIRES deep technical expertise in:

o Architecture and implementation of LLM-based solutions o Development of open-source reference implementations o Technical content creation and community engagement o Enterprise customer advisory and solution design

3.4. AWS Senior Developer Advocate (2022-2023)

Expanded awareness of Amazon Chime SDK capabilities through:

o Development of open-source samples and demos o Creation of CDK constructs with 1000+ weekly downloads o Technical content and documentation authoring o Conference speaking and workshop delivery

3.5. AWS Senior Specialist Solution Architect (2020-2022)

Worked on Amazon Chime SDK team creating VoIP and WebRTC solutions. Responsibilities included:

o Customer architecture design and implementation o Feature development and service improvement o Technical blog and documentation authoring o Best practices development for enterprise deployments

3.6. Verizon Distinguished Technical Roles (2006-2020)

Progressive leadership positions including Distinguished Member of Technical Staff and Distinguished Solutions Architect. Notable achievements:

o Architected 4,000-location SBC deployment o Led SBCaaS product development using OpenStack o Microsoft Teams Direct Routing integration o Enterprise VoIP solution design and implementation

4. Technical Accomplishments

The following technical accomplishments demonstrate expertise across cloud architecture, AI/ML, and enterprise systems:

o Developed reusable CDK constructs enabling rapid POC deployments (months to days reduction)

o Created Model Context Protocol (MCP) standards for code consistency across AI projects

o Delivered technical workshops at re:Invent 2022/2023 reaching thousands of developers

o Led Fortune 100 enterprise engagements for AI/ML solutions

o Maintained open-source portfolio with significant community adoption (500+ GitHub stars)

o Hosted weekly technical Twitch streams building developer community

o Published multiple AI/ML applications using AWS Bedrock, Whisper, and Claude

5. Publications and Contributions

5.1. Open Source Projects

AWS Logs MCP [AWS-LOGS-MCP]
<https://github.com/schuettc/aws-logs-mcp>
Model Context Protocol server for AI assistants to query AWS CloudWatch Logs and CloudTrail Events

Anthropic on AWS [ANTHROPIC-AWS]
<https://github.com/aws-samples/anthropic-on-aws>
Comprehensive examples and resources for Claude LLM on AWS

Hosted Whisper Streaming [WHISPER-STREAM]
<https://github.com/schuettc/hosted-whisper-streaming>
Real-time audio transcription using OpenAI Whisper

CDK Amazon Chime Resources [CDK-CHIME]
<https://github.com/cdklabs/cdk-amazon-chime-resources>
Infrastructure as code constructs for Amazon Chime SDK

5.2. Technical Articles

o "Live Call Analytics with AI Services" - AWS Machine Learning Blog

o "Building Production LLM Applications with Amazon Bedrock"

o "Real-time Video Analysis with Amazon Rekognition"

o "Implementing RAG Architectures on AWS"

6. Security Considerations

Professional conduct adheres to security best practices as defined in relevant security frameworks:

o Implementation of zero-trust architecture principles

o Regular security training and certification updates

o Adherence to AWS Well-Architected Security Pillar

7. IANA Considerations

This document has no IANA actions.

8. References

8.1. Normative References

[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, DOI 10.17487/RFC2119, March 1997, <https://www.rfc-editor.org/info/rfc2119>.

[RFC7322] Flanagan, H. and S. Ginoza, "RFC Style Guide", RFC 7322, DOI 10.17487/RFC7322, September 2014, <https://www.rfc-editor.org/info/rfc7322>.

8.2. Informative References

[AWS-LOGS-MCP] Schuett, C., "AWS Logs Model Context Protocol", GitHub Repository, 2024, <https://github.com/schuettc/aws-logs-mcp>.

[ANTHROPIC-AWS] AWS Samples, "Anthropic on AWS Resources", GitHub Repository, 2024, <https://github.com/aws-samples/anthropic-on-aws>.

[CDK-CHIME] CDK Labs, "CDK Amazon Chime Resources", GitHub Repository, 2023, <https://github.com/cdklabs/cdk-amazon-chime-resources>.

Author's Address

Court Schuett
Amazon Web Services

Email: court@subaud.io
URI: https://github.com/schuettc