Systems integration · technical operations

I turn ambiguous field problems into systems that can be explained, tested, and supported.

I learn how the work actually happens, map its constraints and failure paths, define what the system must do, connect the right technical layers, and accept results only when the evidence matches the operating reality.

  • 20+ yearstechnical operations experience
  • Kent, WAtargeting Stanwood / North Sound
  • Current workAmazon Low Earth Orbit (LEO)
SYSTEM VIEW / 01
Integrated systems map People and process connect through systems integration to hardware and software, with validation and field feedback across the system. SYSTEMSINTEGRATIONdefine · connect · validate PEOPLEneeds + use PROCESSflow + limits HARDWAREedge + field SOFTWAREtools + data
Requirements move through integration, validation, and field feedback.

Where I add value

One person who can follow the whole problem.

The roles that fit me best cross technical boundaries and need someone who can understand the operating reality as well as the technology.

01 / CONNECT

Systems integration

Bring hardware, networks, software, interfaces, and operating constraints together as one maintainable system.

  • Networks
  • AV systems
  • Edge devices
  • Field deployment
02 / DIAGNOSE

Root-cause problem-solving

Follow the evidence across disciplines until the real failure is understood—not merely the first visible symptom.

  • Discovery
  • Requirements
  • Root cause
  • Recovery
03 / TRANSLATE

Requirements, validation & handoff

Turn an observed need into clear behavior, failure cases, acceptance criteria, documentation, and a supportable result.

  • Specifications
  • Diagnostics
  • Test design
  • Documentation

Distinct evidence space

AI Systems Lab

Forward-Deployed AI Solutions, agent infrastructure, self-hosted model operations, human-in-the-loop product evaluation, privacy-first applications, and NVIDIA DGX Spark-supported research are presented separately from the professional systems portfolio.

The shared capability is the same: turn an ambiguous operating problem into explicit contracts, bounded implementation, and evidence that can accept—or reject—the result.

Explore the AI Systems Lab

How I work

Understand the work before designing the solution.

People often describe the symptom they can see. I look at the surrounding workflow, equipment, software, dependencies, and constraints until the underlying problem is clear enough to solve and test.

See the experience behind the approach
  1. 01

    Listen and observe

    Learn what the person is trying to accomplish, how the work happens, and where it becomes unreliable or unnecessarily difficult.

  2. 02

    Frame the problem

    Map the dependencies, failure conditions, boundaries, tradeoffs, and evidence that will define a successful result.

  3. 03

    Build or integrate

    Use the smallest appropriate combination of hardware, software, data, and process change needed to solve the real problem.

  4. 04

    Prove and hand off

    Exercise normal and failure paths, document what matters, and refine the system from direct operating feedback.

Employment & selected contract work

Have a role—or a difficult systems problem—that crosses disciplines?

I am open to conversations about systems integration, engineering technology, technical operations, and forward-deployed AI solutions.

Discuss an opportunity