Real work, described carefully. Client engagements are anonymized and outcomes are stated qualitatively — no customer names, no invented metrics, no implied endorsements.
Professional Experience
Multi-Application Azure Modernization with AI Agents
Using orchestrated AI agents to accelerate application discovery, architecture analysis, modernization and Azure deployment
Using specialized AI agents, orchestration and human architecture oversight to accelerate application discovery, Landing Zone analysis, modernization planning, engineering and Azure deployment across enterprise application portfolios.
AI-Enabled Insurance Compliance and Certificate Management
Turning insurance documents into actionable operational intelligence
An anonymized look at how document intelligence, reconciliation and compliance rules turn contractor insurance certificates into tracked, actionable operational data.
Agentic Property Operations and Work Order Automation
Closing the operational gap between creating a work order and actually completing the work
An anonymized look at how AI agents can coordinate the vendor, tenant and follow-up work that sits between a created work order and a verified completion.
AI-Assisted Competition and Event Operations Platform
Turning domain expertise into a real-time operational application
An internal innovation project: building a real-time competition management platform with AI-assisted development, from workflow modeling through authentication and live application state.
Information → Understanding → Decision → Action → Follow Up → Verification → Learning
Traditional applications record information and transactions. AI helps understand context, agents help coordinate action, automation executes deterministic steps, and people provide judgment, relationships and physical execution. Enterprise architecture connects those capabilities securely.
01Information
02Understanding
03Decision
04Action
05Follow Up
06Verification
07Learning
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