Support Diagnostics Lab
A hands-on service-desk simulation where users choose incidents, run tests, watch a network map respond, build evidence, isolate a root cause, and resolve the ticket.
Launch diagnostic consoleI work where systems, people, and production problems meet. My background spans technical documentation, customer-facing troubleshooting, XML workflows, databases, programming, and practical software building.
Useful systems, practical interfaces, troubleshooting, data, and AI-assisted product thinking.
A hands-on service-desk simulation where users choose incidents, run tests, watch a network map respond, build evidence, isolate a root cause, and resolve the ticket.
Launch diagnostic consoleAn AI-first restaurant operations concept connecting sales, inventory, purchasing, forecasting, promotions, and management decisions while prioritizing integration with existing restaurant infrastructure instead of costly hardware replacement.
View GitHub repo ↗A compact database interface that turns support-ticket data into operational views for urgent issues, repeat users, and open-ticket prioritization.
Open live demoA trading-card technology product using AI-assisted development for prototyping, debugging, feature planning, mobile usability, application logic, and deployment problem solving.
Visit tcgsignals.com ↗Production-focused XML and illustration work involving structured content, technical accuracy, complex file troubleshooting, and coordination with engineering teams.
A simulated service desk: choose an incident, run diagnostics in any order, watch the path change, and build enough evidence to resolve the problem.
Run tests to narrow the failure boundary.
Select a view and watch the query and result set change.
| ID | User | Category | Priority | Status |
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Diagnose Illustrator, EPS, SVG, and XML workflow problems in an accuracy-critical technical documentation environment.
Reviewed customer files, identified technical defects before production, and converted requirements into production-ready deliverables.
Java programming, database design & SQL, project management, IT ethics, web development, systems and computing.
Technical troubleshooting, software configuration, issue documentation and root-cause analysis.
Windows, macOS, Microsoft Office, systems and computing fundamentals.
Java, SQL, HTML, CSS, JavaScript, Git/GitHub and relational databases.
XML workflows, technical documentation, Adobe Illustrator and Creative Cloud.
AI-assisted troubleshooting, prompt engineering, rapid prototyping and research.
Clear technical explanation, documentation, verification and cross-functional problem solving.