Experience
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Design, deploy, and maintain Windows and Linux server environments for small
businesses and healthcare-adjacent organizations, including infrastructure
supporting AI-integrated and automated workflows.
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Build and deploy AI-powered tools and agents using LLM APIs, automating
operational workflows, client reporting, and multi-step processes that previously
required manual intervention.
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Administer wired and wireless networks with emphasis on reliability, security,
and documentation, providing stable infrastructure for AI tools and
API-dependent services.
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Provide remote and on-site technical support, translating technical issues into
actionable steps for non-technical users.
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Create internal documentation, procedural guides, and agent system prompts to
reduce repeat issues and support long-term operational stability.
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Conduct data handling, access, and process reviews for organizations operating
in regulated and high-risk environments.
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Analyze system behavior, user workflows, and documentation gaps to identify
operational and data integrity risks—an approach directly transferable to
evaluating AI agent behavior and failure modes.
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Support audit preparation and remediation with clear, defensible documentation
and reporting.
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Perform security testing and social engineering simulations; analyze results and
recommend corrective action.
- Deliver written findings that balance technical accuracy, business impact, and accountability.
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Produce clear, structured documentation, system prompts, and technical guides
that support AI-powered tools, automated systems, and data-driven work.
- Write SOPs, knowledge base articles, and internal documentation aligned with operational reality.
- Apply professional editing and structure to analytical findings, compliance reports, and technical explanations.
- Support technical teams by improving clarity, consistency, and usability of written materials.
- Designed and managed full-color print and digital publications.
- Coordinated editorial workflow, content standards, and production schedules.
- Strengthened attention to detail, deadlines, and structured presentation of information.
- Managed production projects, customer requirements, and operational workflows.
- Developed strong habits around specifications, constraints, and practical execution.
Employment history extends continuously from 1994 to present across writing/editorial,
technical, consulting, and AI development work. Additional early-career positions
available upon request.