Most engineering teams lose more time to their process than to their code. This work is about finding where the hours actually go — manual QA, slow pipelines, repetitive triage — and automating the parts that never needed a human.
What I Build
- CI/CD pipelines — GitHub Actions and GitLab CI with parallelised jobs, aggressive caching, and deploys that finish in minutes.
- Review apps — ephemeral per-branch environments so stakeholders review real builds instead of screenshots.
- Automated test suites — Playwright end-to-end coverage and Jest or Vitest unit layers wired into every pull request.
- AI-assisted development workflows — automated code review, changelog and release note generation, and triage of issues and support queues.
- Data automation — document processing, classification, and reporting pipelines that remove standing manual work.
Measured, Not Assumed
Engagements start with a baseline: lead time, deploy frequency, pipeline duration, and where manual effort is being spent. Every change is measured against it, so the improvement is a number rather than a claim.
Typical Engagements
- Cutting a slow, flaky pipeline down to a fast and trustworthy one.
- Introducing automated testing to a codebase that has never had it.
- Automating a recurring manual process that quietly consumes a day a week.
Frequently Asked Questions
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