Governance-ready systems thinking
Experience maintaining enterprise business systems, custom .NET applications, and operational reporting gives me a grounded view of where AI controls belong inside real public-sector and IT workflows.
Responsible technology and data governance
Helping public-sector and IT leaders govern systems, data, and AI responsibly.
I connect technology modernization to the controls, reporting, data practices, and operational evidence leaders need before systems and AI tools can be trusted in real public and enterprise environments.
Positioning
Built for leaders who need technology to be useful, explainable, and governed
My LinkedIn presence already reads like a hands-on builder: software development, IT consulting, web development, business analytics, database development, information security, and custom application delivery. The next step is to make that practical credibility visible to public-sector leaders, IT directors, and responsible organizations that need data, enterprise systems, and AI programs to work in the open, survive scrutiny, and improve service quality.
Abilities
Strengths that matter to AI adoption leaders
Evidence and reporting discipline
SSRS, SQL Server, T-SQL, BI reporting, and data analysis translate naturally into audit-ready AI evidence, decision records, dashboards, and risk views.
Full-lifecycle delivery
Requirements, Agile execution, support, troubleshooting, and stakeholder translation help governance become part of delivery instead of a late-stage blocker.
Public-sector credibility
Municipal technology work creates a strong lane for responsible AI in civic services, public accountability, procurement, records, and enterprise modernization.
Governance Point Of View
From policy to operating rhythm
Public-sector leaders and IT directors do not need abstract governance theatre. They need inventory, risk classification, accountable owners, control evidence, vendor review, incident pathways, and reporting that executives, technologists, auditors, and public stakeholders can all use across data, enterprise systems, and AI-enabled tools.
Offer Themes
Clear ways to help responsible adopters
Technology and AI Governance Readiness Review
Inventory current AI use, vendor exposure, data dependencies, reporting gaps, citizen impact, and existing controls.
Responsible Technology Operating Model
Define roles, review gates, risk tiers, evidence requirements, escalation paths, and recurring leadership reporting.
Public-Sector AI Adoption Support
Help civic teams modernize responsibly across procurement, citizen services, records, analytics, and vendor-enabled systems.
Best-Fit Conversations
Two paths where this background can create value
Responsible technology and AI governance consulting
Useful for teams that need a practical readiness review, a responsible AI operating model, vendor governance support, or reporting controls before AI adoption expands.
Start a consulting conversationFull-time technology leadership roles
Strong fit for public-sector, civic technology, enterprise systems, data governance, business applications, responsible AI, and IT modernization roles. Open to full-time, contract, and part-time conversations where the work is mission-aligned.
Discuss a roleWhitepapers
Municipal AI governance research and executive briefs
Practical publications for city managers, CIOs, IT directors, procurement leaders, department heads, and elected officials evaluating responsible AI adoption in municipal organizations.
Governing AI for Better City Operations
A municipal framework for accountability, innovation, and public trust. Covers the responsible-party gap, procurement due diligence, shadow AI, civil-rights exposure, data privacy, executive accountability, and operational governance.
The Case for Governed Agentic AI in Municipal Government
A practical model for deploying agentic AI in city operations with clear boundaries, decision logs, human accountability, risk-tiered permissions, and municipal readiness stages.
Credibility Signals
Credibility for technical and civic conversations
AI and machine learning foundations
Coursera credentials include AI For Everyone, Neural Networks and Deep Learning, Improving Deep Neural Networks, and Google AI coursework.
Generative AI and responsible use
Recent coursework includes Use AI Responsibly, Trustworthy Generative AI, Generative AI in Business, agentic AI, prompt engineering, and custom AI assistants.
Service marketplace alignment
LinkedIn services align with IT consulting, application development, business analytics, cloud applications, database development, information security, web development, and ECM.
Peer recommendation themes
Recommendations emphasize dedication, resourcefulness, communication, organization, flexibility, eagerness to learn, and complex-systems maintenance.
Experience
A career built around useful systems
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2025 - Present
Programmer Analyst, City of Cape Coral
Custom .NET business applications, SSRS reporting, enterprise business systems, EnerGov/EERP/EPL support, analysis, and SaaS operations.
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2017 - 2025
Developer and Principal, UltraCoast Digital
Website delivery, client scoping, marketing technology, service support, SQL, .NET, Optimizely/EPiServer, and business analysis.
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2013 - 2017
.NET and Applications Developer
C#, MVC, .NET Core, CMS development, SQL Server, SSRS, SSIS, legacy modernization, BI reporting, and production support.
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Education
Computer Information Systems, Henry Ford Community College
Associate degree concentration focused on programming in the Microsoft .NET environment.
LinkedIn Visibility Engine
Content pillars for responsible technology visibility
Governance in delivery
Posts about turning NIST AI RMF, ISO/IEC 42001 concepts, and internal policy into tickets, controls, evidence, and reporting.
Responsible municipal AI
Practical ideas for public agencies and IT directors adopting AI while protecting accountability, records, transparency, and service quality.
Data and reporting controls
Explain how SQL, BI, audit trails, requirements analysis, and lifecycle documentation make AI oversight measurable.
Builder-to-governance journey
Use a candid voice to connect software delivery, curiosity, clean code, public systems, and AI learning into a distinctive governance perspective.
Career signal
Share thoughtful notes on the kinds of full-time, contract, and advisory work that benefit from systems delivery, data controls, and responsible technology judgment.
Contact
Let’s build responsible AI that can be explained.
Based in Cape Coral, Florida. Available for responsible technology and AI governance consulting conversations and full-time opportunities involving responsible technology, public-sector systems, reporting, enterprise applications, and AI adoption.
rcgauger@gmail.com Connect on LinkedIn