Technology delivery · Applied AI · Modernization

Sound judgment. Working systems.

I bring 35 years of software engineering, architecture and delivery to the work of turning AI capability and business intent into dependable technology.

The through-line

Understand the real problem. Decide what should exist. Work credibly across business and technical teams. Deliver with the people who will own the result.

Now applying that foundation to AI implementation and enablement.

Independent technology consultant · Atlanta MetroAvailable for senior technology and AI implementation roles

01 / Selected work

Three different kinds of evidence.

Business discovery, applied AI product engineering, and operational implementation. Each calls for a different kind of decision-making.

01

Business → technology

Keating Family Medicine

A paid assessment translated five sources of operational friction into one shared pattern, a bounded pilot recommendation, and explicit decisions about what to defer.

Examine the assessment
Excerpt of the Opportunity Map grouping five workflows into visibility and manual-processing themes
02

Technology → product

RefactIQ

A repository analysis product built around more than model output: source evidence, deterministic controls, repeat-run continuity, and a Workbench where people own the decision.

Explore the product
RefactIQ Workbench with finding list, affected files and triage actions
03

AI → operational workflow

SFC Outreach Engine

An n8n workflow combining AI research and drafting with APIs, deterministic eligibility rules, persistent state, Gmail drafts, and human review before any message is sent.

Follow the workflow
Six-stage outreach architecture ending in human-owned review and sending

02 / Career context

Experience behind the current work.

AI is the newest technology transition in a long career spent making software useful, reliable and accountable.

Explore experience
  • 35 yearsAcross software development, architecture, consulting, requirements, delivery and long-term system ownership.
  • 2016–2026Modernization and technical delivery for QwickAnalytics, now Call Report Insights, through a long-running client engagement.
  • Current workApplied AI product engineering, workflow assessment and implementation design.

03 / Credentials

Current learning, grounded in practice.

Credentials add context to the work above. The case studies show how I apply the thinking.

Microsoft · 2026

Azure AI Apps and Agents Developer Associate

Microsoft Certified. Applied development across Azure AI apps and agents.

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Microsoft · 2026

AI Transformation Leader

Microsoft Certified. Business and implementation decisions around AI adoption.

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Delivery discipline

Project Management Professional

Earned in 2020; certification is currently inactive.

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Language

JLPT N4

Japanese Language Proficiency Test · issued January 2020 · ID N4A209217A.

04 / Conversation

Important technology work needs someone who can see the whole problem.

I’m interested in senior roles in AI implementation and enablement, technical program leadership, technology delivery and adjacent positions where deep software experience and current AI capability belong together.