Michael Gray
Michael Gray

AI quality and platform engineer

Michael Gray

Salt Lake City metropolitan area

I build quality systems, software platforms, and operational controls that make AI-assisted products dependable in production.

I engineer the boundaries around the model through software quality, full-stack systems, automation, and production ownership.

Profile

Quality engineering is part of the architecture.

I build test systems, application code, and delivery controls for software that has to keep working as it changes. My background spans SDET leadership, full-stack product development, API and data validation, deployment gates, and production health monitoring.

My applied AI work follows the same discipline: models handle language and exploration while deterministic code owns facts, formulas, validation, and authority boundaries. I build the system around the model—not just the prompt.

Experience

A continuous record of building confidence into software.

present

Software Development Engineer in Test II

AMH

  • Build Playwright and TypeScript coverage for user journeys and APIs, using fixtures and interceptors to keep scenarios controlled and repeatable.
  • Develop Python validation for lower-environment data and C# tests for microservices and adapters used as deployment gates.
  • Use Azure DevOps reporting, service health monitoring, and Grafana to make failures visible and actionable.
Apr 2025

Software Development Engineer in Test

Stampin’ Up!

  • Architected, maintained, and taught a Playwright end-to-end suite integrated with Azure DevOps.
  • Ran build and nightly multi-culture coverage across an eight-device mobile, tablet, and desktop matrix.
  • Maintained WinAppDriver and Selenium regression coverage, contributed C# unit tests, and supported the transition from Cypress.
Apr 2022

Full Stack Developer

DataMasters for Appraisers

  • Delivered product stories and defect fixes across C#, Visual Basic, and Angular applications.
  • Built a bulletin alert system with an administrative workflow for targeted customer communication.
  • Created a REST API using Azure Blob Storage and third-party MLS data, and expanded Cypress regression coverage.
2020

Software Quality Assurance Intern

C.R. England

  • Manually tested the communication protocol connecting drivers and fleet managers.
  • Modeled test logic in TestRail, investigated SQL stored procedures, and documented defects in Jira.
2019

Web App Developer

FundHero

  • Built an image cropper, smart groups, and sorting and search tools for the fundraising platform.
  • Improved mobile and tablet layouts while reducing visible performance bottlenecks.

Selected work

Gray Rest: operating AI as a bounded system.

Problem
Operate publications, reference data, and task-focused products across independently branded properties without duplicating every implementation.
Authority boundary
Models may explore and generate language. Extracted facts, schemas, formulas, validation, deployment gates, and irreversible actions remain deterministic or human-owned.
Engineering response
Host-resolved tenancy, validated packs and manifests, staged generation, shared GitHub Actions, health checks, recovery verification, and independently deployable services.
Production evidence
A live fleet spanning technical publishing, source-backed game data, broad-audience editorial, and persistent planning tools.
Explore Gray Rest Read the engineering case studies View public work on GitHub

Capabilities

Tools connected to the work they support.

Quality architecture
Playwright, Cypress, Selenium, WinAppDriver, pytest, contract tests, API fixtures and interceptors, deployment gates, health checks, restore drills
Application engineering
Python, TypeScript, JavaScript, C#, Visual Basic, Flask, Jinja, Angular, REST APIs, SQLite, Azure Blob Storage
Delivery and operations
GitHub Actions, Azure DevOps, Docker Compose, DigitalOcean, Cloudflare, Tailscale, Grafana, production monitoring
Applied AI systems
Staged generation, LiteLLM and OpenRouter routing, schema validation, deterministic authority boundaries, agent-assisted engineering

Education

Formal study, continuing in parallel with production work.

Master of Science in Artificial Intelligence

University of Colorado Boulder

In progress
Expected 2028

Graduate Certificate in Artificial Intelligence

University of Colorado Boulder

In progress
Expected early 2027

Bachelor of Science in Computer Science

Weber State University

2019

Associate of Science in Computer Science and Information Systems

Salt Lake Community College

2017

Credentials

Current professional foundations.

  • GitHubGitHub Certified: Agentic AI Developer
  • MicrosoftMicrosoft Certified: Azure Fundamentals (AZ-900)

Work together

Need an engineer for the system around the model?

I’m interested in AI quality and platform engineering work where test architecture, product judgment, and production ownership matter.

Contact me through Gray Rest