Implementation · Professional Services · Technical Success

I turn complicated technical change into stable, supportable results.

My background spans enterprise implementation, customer-facing SaaS delivery, integrations, cloud infrastructure, and reliability. I work best where ownership, technical constraints, and cross-functional execution have to line up.

Implementation & deliveryCustomer & stakeholder leadershipIntegrations & troubleshooting

Selected work

Work that moved from ambiguity to a result people could use.

Three examples where unclear requirements and operating problems became practical, repeatable delivery.

01

Enterprise implementation

From a difficult first migration to repeatable delivery.

Turned lessons from complex customer migrations into scripts, validation checks, runbooks, and repeatable workflows.

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100+enterprise migrations, implementations, and deployments supported
02

SaaS reliability

From customer outage complaints to durable remediation.

Built the visibility to prove a recurring failure pattern, communicated the RCA, and helped move the problem into cross-functional software remediation.

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55%reduction in repeat customer escalations
03

Operational improvement

A shared operating model for reliability work.

Improved dashboards and alerts, standardized runbooks and RCA practices, automated workflow coordination, and helped teams adopt a shared response model.

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60%improvement in response and recovery metrics

How I work

Technical range matters when it helps the work move.

The job is usually bigger than the tool. I care about whether the requirement is clear, the evidence supports the decision, the change is controlled, and the people who inherit the result understand what they own.

01

Understand the real requirement.

Start with what the customer, team, or business is trying to accomplish. Separate the requested change from the underlying operating problem before deciding how technical the answer needs to be.

02

Move from evidence to action.

Use implementation context, APIs, SQL, cloud signals, observability, and cross-functional discovery when they help establish what is actually happening and what should happen next.

03

Leave the result easier to own.

The useful outcome is not only that the change worked. Ownership, validation, documentation, readiness, and the next operating step should be clearer afterward.

Engineering context

Enough technical range to work across the boundary.

Cloud and reliability engineering gave me context across production behavior, integrations, authentication, data, infrastructure, automation, and observability. I use that range to make delivery decisions better—not to turn every problem into an engineering project.

  • APIs & integrations
  • SQL & data validation
  • Authentication & IAM
  • AWS & cloud
  • Linux
  • Kubernetes
  • Terraform
  • Observability

Experience

A career built across customer leadership, implementation, and engineering.

2022–2026Site Reliability Engineer · Trimble
2018–2022Cloud Engineer · Cityworks
EarlierTechnical support, B2B service operations, and multi-unit leadership

About & contact

Most business problems do not stay in one lane.

That is the kind of problem I tend to gravitate toward: where a customer issue, implementation challenge, technical constraint, and operating process all touch the same outcome.