At Inhubber GmbH, I lead the software testing lifecycle for its AI and blockchain management platform, using Cypress, Azure DevOps, and CI/CD pipelines. This work reduced regression effort by 40% and achieved 98% automation reliability.
At LERETA, I designed and implemented an LLM evaluation framework with TypeScript for prompt testing, hallucination detection, and regression benchmarking, reducing AI output errors by 65%. I also integrated continuous model evaluation with GitHub Actions.
At Nisum, I designed an AI-driven cross-platform automation framework for Science 37’s BYOD platform, reaching 99% automation uptime. Earlier, I developed automated test suites for Zameen and Bayut, including mobile, API, and performance testing.

