These are the systems and platforms Paul Rahme has shipped: six AI systems in production at a US marina-software company, 2025–2026, a dealership data pipeline, and QA and delivery work for a bank, a national tourism platform, a global consultancy, and a media streaming service. Every number below has a case behind it, and every case names what was built, for whom, and when.
The work: a support queue absorbing engineering time, first responses taking hours.
The system: an autonomous agent with guardrails and confidence thresholds that triages, answers, and closes tickets, escalating to humans only when unsure.
The work: a manual QA cycle before every release, slow, repetitive, easy to skip under pressure.
The system: an AI pipeline that generates and executes automated tests on a schedule, catching regressions before they ship.
The work: hours of setup per ticket before real engineering could start.
The system: a pipeline that reads Linear tickets, writes the code and the tests, survives the build gate, and opens review-ready pull requests.
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QA-automation, development, and delivery roles at these organisations from 2020 to 2026. The AI systems were built and are run at a US marina-software company.
Web platforms shipped end to end (EpikDubai, Fresh Greens & Proteins, Yala Next) are on the Build page →
No. They are rounded from production data at a US marina-software company, 2025–2026, and each carries its measurement definition on its own case page, so you can see exactly what was counted. Nobody external has verified them, and this page says so rather than implying otherwise.
Six: the AI support agent, AI test automation, the AI dev agent, the autonomous bug fixer, documentation automation, and the voice agent on the support line, all at a US marina-software company on its marina-management product. The voice agent is the most recent to go live, answering around 100 calls a month; its resolution figures are not yet published.
Ask on the audit call. Referencing work done under a contract engagement needs the client's agreement, so it is arranged case by case rather than promised on a web page.
If the cost is a support queue, start with the Marina-software support agent. If it is a slow release, read the self-testing QA pipeline. If it is an engineering backlog, read ticket to pull request. If it is bad data in a CRM, read the dealership enrichment pipeline.
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