Applied AI architecture and implementation

I turn difficult business problems into working systems.

I work forward deployed: close to the operators, customers, data, and code. I can own the build directly, shape the architecture and team around it, or step in as fractional or interim technology leadership.

Greater Boston and remote.

01 Applied AI architecture and implementation02 Forward deployed engineering03 Fractional or interim technology leadership

The job is not to deliver a recommendation. It is to make the problem concrete, build what matters, and leave behind working technology and a stronger organization.

Where I enter

Hard problems with no clean handoff.

I am most useful when business urgency, technical ambiguity, and organizational friction have become the same problem.

01

There is an AI opportunity, but no path to production.

I turn a promising use case into an architecture, a working implementation, an evaluation plan, and an operating model people can trust.

02

The platform or delivery model has stopped scaling.

I untangle architecture, stalled execution, security debt, vendor sprawl, and unclear ownership without losing sight of the business outcome.

03

The organization needs technology leadership now.

I create clarity through a transition, turnaround, acquisition, or leadership gap, then build the capability and hand it back stronger.

The work, not just the advice

Built personally. Architected end to end. Led at scale.

Personally built

Working software, not slideware

Products and prototypes built close to users, from workflow discovery and system design through code, integrations, evaluation, and deployment.

Architected

Systems that can survive success

Product, data, cloud, security, and AI choices made as one system, with the controls and operating model required to keep it useful.

Team-led

Organizations that keep delivering

Product, engineering, analytics, cloud, and security teams aligned around clear decisions, accountable ownership, and measurable operating outcomes.

Applied AI proof

See the architecture, implementation, and tradeoffs.

The applied AI work includes a commercial voice product with real calls and real payments, a healthcare AI prototype, and an agentic operations system in development. Every project is labeled by its actual maturity.

Explore applied AI work
Production product

MakeCalls

AI phone reference checks for landlords.

Working prototype

Kintsugi

Voice biomarker screening architecture.

In development

Sweetwater Ranch

Agentic operations triage.

Evidence under pressure

Some problems carry a higher bar.

Healthcare is evidence of rigor, not a boundary on where I work.

I have led technology across payer and provider healthcare and took three clinical AI applications to production in a HIPAA-governed oncology environment, with human oversight, governance, observability, and operational support.

The same discipline applies wherever software must earn trust: analytics leaders act on, security and compliance that hold up, and systems that operators can actually run.

How I lead

Mission first.
People always.

High standards and genuine care are not opposites.

I first learned to lead in the Army, commanding a company in support of forces overseas. The lesson held: give capable people clarity, context, trust, and accountability, and they will accomplish difficult things together.

I stay technically engaged because technical fluency sharpens executive judgment. Whether I am writing code, shaping an architecture, or leading the organization, the standard is the same: solve the business problem and leave the team more capable.

Background

Engineer, operator, entrepreneur, and veteran.

My path runs through software engineering, product, cloud, security, analytics, and operations. I have sat in most of the chairs: developer, product manager, consultant, VP of engineering, founder, and CTO. That range helps me see the whole problem and move between strategy and implementation without a translation layer.

  • Former CTO of Optum Analytics (payer and provider analytics) and Cancer Treatment Centers of America (provider)
  • Software engineer by training, with an M.S. in Computer Science and B.S. in Computer Engineering, Rochester Institute of Technology; MBA, Bentley University
  • Named inventor on four software patents
  • Led security and compliance programs spanning HIPAA, SOC 2, and HITRUST
  • Retired U.S. Army Major and former company commander

Let's talk

Bring me the hard problem.

If the path from business need to working technology is unclear, let's make it concrete.