How I apply technology foresight — a structured scan-analyze-forecast-recommend-roadmap system — to move from weak signals to defensible product decisions in uncertain, fast-moving domains.

A disciplined weekly product huddle keeps cross-functional teams aligned, surfaces blockers, and drives continuous improvement through data-driven discussion and operational cadence.

Added RAG-powered conversational search to my portfolio site, allowing visitors to ask questions instead of navigating pages — demonstrating how retrieval-augmented generation and edge inference reduce friction and accelerate understanding.

A production expense reporting app I'm building as an R&D testbed and "kata" for agentic development — using ChatGPT for requirements, Codex for async coding via voice, Gemini for architecture, and Claude in Copilot for supervised edits, with automated E2E testing and edge deployment.

Added an agentic policy review agent to the development and PR workflow so Terms and Privacy updates stay aligned as ExpenseReports.app changes.

Extracting fragmented knowledge into a canonical data model by combining LLM-assisted consolidation with human-in-the-loop validation and domain expertise.

In a fast-moving AI landscape, the hard choice is whether to build, buy, or wait. A real example using Gemini's Spreadsheet AI to summarize service club financials shows how leveraging platform AI can deliver better outcomes than building custom LLM solutions.

Building a context engineering layer—system instructions, guardrails, and grounding rules—that lets AI agents reliably author and consume product wiki documentation, closing the loop between structured knowledge and agentic coding.

Developed a product strategy framework for RFP-driven markets using TAM/SAM analysis, whitespace identification, and a feature requirements matrix to prioritize growth in contracted purchasing environments.

Standardized EMS workforce reporting aligned to NASEMSO’s Core Ten—designed and led at ImageTrend—to deliver comparable, actionable metrics across states. New datasets enable point-in-time and longitudinal analysis of supply, retention, and education outcomes, with solutions validated in collaboration with state EMS offices and NASEMSO.

Building a copilot-pattern AI assistant to embed product management discipline directly into feature specs, PRDs, and user stories — grounded in product wiki, strategy docs, and Azure DevOps via RAG.

Designed a zero-touch inspection workflow that replaced in-person signature collection with event-driven process automation — time-limited secure links, automated status tracking, and compliance by design.

Led the transformation of the Education Program Management module—introducing real-time dashboards, course tracking by position, and sponsor agency workflows to empower education program administrators and state EMS offices.

Led the modernization of the Permit Management module—delivering permit application receipt and processing from general public users to inspection processing including ArcGIS geospatial validation to streamline applications and ensure county level source of truth location accuracy.

How a critical performance issue was solved by rethinking the user interface, leveraging analytics, and aligning system behavior with user intent.

Designing a product wiki structured around product feature areas — a knowledge base for delivery teams that doubles as RAG-ready grounding context for agentic coding.

Presentation to the Fargo Full Stack Development User Group

Led user-centered design of Grants Management module through multi-session focus groups, translating stakeholder feedback into a streamlined grants administration platform with role-based workflows.

I built a reusable analytics workflow that made it faster to answer cross-customer product and business questions across many isolated databases.

A metrics-based quality improvement case study showing year-over-year hotfix reduction in a production SaaS platform.

Led product strategy, system design, and delivery for a complex licensing platform serving state agencies and enterprise customers. Focused on aligning product, data, and architecture decisions to drive measurable growth, scalability, and long-term platform evolution.

Developed API-based business models and helped land strategic customers through incentive-driven network effects.

Served as a domain and platform expert, helping internal teams and external partners understand system capabilities and translate them into usable solutions.

Managed an IT business unit and executed IT strategy for a research institution, overseeing enterprise applications and research-driven startup projects.

Led engineering initiatives across multiple products, establishing standards, mentoring developers, and improving system architecture and delivery practices.