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jarrettdustinqq/README.md

Industrial reliability + evidence-led automation

I work across industrial electrical/mechanical maintenance, operational troubleshooting, and small, inspectable software tools. The common thread is practical reliability: find the failure, make the smallest sound correction, and check the result against evidence.

Where my experience applies

  • Industrial equipment and controls: PLC troubleshooting, electrical schematics, motors and drives, preventive maintenance, hydraulics/pneumatics, and mechanical/electrical fault isolation.
  • Operational automation: reproducible tests, safe tool boundaries, integrity checks, and evidence that a change actually worked.
  • Local-first utilities: useful browser/offline tools with explicit scope and limitations.

Public work you can inspect

Project What it demonstrates
Discovery Workbench · Live demo Browser-based, local-first research preview with documented engine and browser verification. It does not claim autonomous scientific discovery.
CourseZip Check · Free v0.1.1 preview Offline SCORM ZIP packaging preflight for common structural problems. Not a SCORM certification or substitute for LMS runtime testing.
Phantom Shell · Merged safety correction Automation-shell integrity controls and reproducible regression work, including rejecting invalid performance observations and IPv4-mapped multicast destinations.
Fleet Bootstrap Toolkit Local operations tooling, environment checks, repository inventory, and a Control Hub workflow.
Etsy Seller Prompt Pack · Landing page A separate small commercial landing-page experiment.

Contributions in larger open-source discussions

These are contributions to other people's projects, not claims that I founded or maintain those projects:

Work and collaboration

Interested in conversations about industrial maintenance and equipment reliability, electrical/PLC troubleshooting, practical automation, and testable software reliability.

Start a non-confidential work or collaboration inquiry. GitHub issues are public; please do not include credentials, confidential records, or private personal details.

Working principle: Demonstrated tests and public artifacts support narrow claims. They do not establish an untested deployment, guaranteed safety, customer adoption, or revenue.

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