Testing
Manual QA, regression testing, exploratory testing, test case design, defect reproduction, release validation
QA Engineer / Test Automation / API Validation
Scott Rucker
I break software with intent, document what matters, and help teams ship work that is tested, repeatable, and production-ready.
- Current Focus
- Desktop print workflow QA
- Automation
- TypeScript, JavaScript, TestComplete
- AI Workflow
- Claude Code, local LLMs, n8n
Professional Summary
01QA Engineer with experience in manual testing, automated test development, API validation, and production software verification. Background includes testing complex desktop workflow software, building automated test strategies in TypeScript, validating REST APIs, and creating scripts and tools to reduce repetitive QA and data-processing work.
Strong hands-on experience with AI-assisted development workflows using Claude Code, local LLMs, LM Studio, and n8n.
Manual QA
Regression Testing
Exploratory Testing
Test Case Design
API Validation
AI-Assisted QA
Release Readiness
Workflow Automation
Manual QA
Regression Testing
Exploratory Testing
Test Case Design
API Validation
AI-Assisted QA
Release Readiness
Workflow Automation
Technical Skills
02Automation
TypeScript, JavaScript, TestComplete, scripting, workflow automation
API Testing
Postman, REST APIs, JSON, request and response validation
Tools
Jira, Git, GitLab, GitKraken, ClickUp, Claude Code, LM Studio, n8n
Development
Python, C#, .NET 8, Avalonia UI, basic web and app development
AI Workflows
Claude Code, local LLM server setup, prompt engineering, AI-assisted QA tooling
Professional Experience
03Current
QA Engineer
Onyx Graphics / Salt Lake City
- Test complex desktop print workflow software used for RIP, job handling, media configuration, layout workflows, and production print environments.
- Validate Jira-tracked software changes through acceptance criteria review, testing notes, and regression checks.
- Perform API testing using Postman, JavaScript, JSON payloads, and structured request and response verification.
- Use TestComplete and manual QA workflows to reproduce defects, verify fixes, and support promotion-readiness checks.
- Prototype AI-assisted QA workflows with Claude Code to accelerate test planning, documentation, and internal tooling concepts.
Automation
QA Automation Engineer Intern
Motorola Solutions / Salt Lake City
- Created and executed manual and automated test strategies for software features using TypeScript.
- Developed automated test cases to validate expected behavior, reduce repetitive testing, and improve regression coverage.
- Participated in QA planning, test execution, defect reporting, and verification of resolved issues.
- Collaborated with engineers to clarify requirements, reproduce issues, and validate fixes.
Production
Data Processing Specialist
IC Group / Salt Lake City
- Processed, cleaned, and prepared large mailing datasets for production jobs on the print floor.
- Validated data accuracy, formatting, and production readiness before print execution.
- Built and maintained small scripts and internal tools to automate repetitive data-processing tasks.
- Supported high-volume production workflows where accuracy, consistency, and deadlines were critical.
Projects
04TestRail Local Archive Tool
Built a desktop QA tooling prototype that syncs TestRail projects, suites, sections, test cases, milestones, runs, and custom fields into a local SQLite store for offline browsing, filtering, reporting, and export.
- Implemented JSON, CSV, Excel, HTML reports, and portable archive import/export for cross-machine QA snapshots.
- Used secure credential storage through the OS keychain to avoid plaintext API key storage.
- Designed permission-tolerant sync logic that keeps collecting available data when restricted TestRail endpoints are unavailable.
- Built a searchable UI for browsing test cases by project, suite, priority, type, milestone, and references.
- Used AI-assisted coding tools while manually validating behavior, API flows, and edge cases.
Local AI Automation Pipeline
Set up a local n8n instance connected to a locally hosted LM Studio server, then configured automated workflows that send prompts to a local LLM and process responses without manual intervention.
AI-Assisted App Prototype
Built a functional app prototype in approximately two hours using iterative prompting, code review, debugging, and hands-off generation workflows while validating behavior and correcting implementation issues.
Desktop Configuration Editor
Built a desktop tool for editing structured configuration data through a visual interface, including TOML export, project file generation, and repeatable structured editing workflows.
Python Automation Utilities
Created utilities for parsing, generating, organizing, and transforming structured project data across repetitive file, data, and workflow tasks.
How I Work
Quality is a system, not a final pass.
Reproducible Defects
Clear steps, useful artifacts, and engineering-ready notes that shorten the path from report to fix.
Automation With Judgment
Test coverage aimed at repetitive risk, release confidence, and faster feedback loops.
AI-Assisted Momentum
Practical use of Claude Code, local LLMs, and n8n to accelerate planning, tooling, and documentation.
Contact
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