Hi, my name is

Jay Stuart.

I build what matters.

I build cloud platforms and AI systems for organizations where getting it wrong isn't an option.

About

26 years of building systems — from COBOL to Kubernetes to AI agent frameworks. Career shaped by federal tech: NOAA, HHS, FDA, VA, CMS, IRS.

Architected cloud platforms under FedRAMP/NIST 800-53, contributed to $50M+ in contracts. Now deep in AI engineering — multi-agent governance, self-healing test automation, 6x delivery acceleration.

Builds in the open, runs a production K8s homelab, cooks seriously.

AWS / Cloud Kubernetes Terraform Python AI / ML FedRAMP CI/CD Docker Node.js Multi-Agent Systems

Experience

10/2024 — 10/2025

Principal Solutions Architect

SAIC

Stabilized NOAA's AWS cloud infrastructure and built governance frameworks from scratch. Designed future-state architecture for mission-critical weather and climate systems.

03/2021 — Present

Chief Architect

Monarch Innovations

Pioneered AI agent frameworks achieving 6x delivery acceleration. Leading architecture for intelligent automation, multi-agent governance, and self-healing test systems.

08/2016 — 03/2024

Senior Lead Technologist

Booz Allen Hamilton

Contributed to $50M+ in contract wins. Delivered FedRAMP/ATO-compliant cloud solutions for HHS, FDA, and VA. Led teams of 20+ engineers across multiple federal programs.

10/2014 — 01/2016

Technical Lead

ActioNet

Built knowledge management platforms for CMS. Streamlined content workflows and collaboration tools for federal healthcare programs.

10/2005 — 02/2014

Principal Architect

AT&T

Led enterprise Java architecture and drove Agile transformation across engineering teams. Built platforms serving millions of subscribers.

Featured Projects

VisionTest AI

visiontest.ai

AI-powered visual regression testing that catches what unit tests miss. Automated screenshot comparison with intelligent diff detection.

AI/ML Computer Vision Testing

SourceBridge AI

sourcebridge.ai

Codebase intelligence platform that understands your entire repository. Semantic search, dependency mapping, and AI-driven code analysis at scale.

RAG LLMs Code Analysis

Project Athena

local • apple silicon

Fully local AI voice assistant running on Apple Silicon. No cloud dependencies — private, fast, and running on a Mac Studio cluster in the homelab.

Local LLM Voice AI Apple Silicon

What's Next

Let's Build Something.

Currently exploring Principal Architect, Chief Architect, and VP Engineering roles. If you're solving hard problems at scale, I'd love to talk.

Say Hello