Quality engineering, data-driven decisions, and AI — building the teams and systems that turn complexity into clarity and confidence.
Driving measurable impact through structured quality engineering, early AI adoption, and the right tooling to keep teams moving fast without breaking things.
I'm Joren — a software quality professional with close to 15 years of experience across industries and technologies. Pragmatic, team-oriented, and driven by a belief in continuous iterative improvement. I love acquiring new skills and finding ways to put them to work, both professionally and personally.
My story starts long before my career did. As a kid I was always drawing plans and building things — convinced I'd become an architect. Then I discovered computers (read: computer games), taught myself to program, and never looked back. From that moment on, my future was in IT. That includes being the family helpdesk, obviously.
Since entering the quality engineering domain I've managed test implementations across ERP systems, embedded software, web and mobile platforms, APIs, databases, and more. I've delivered manual testing, test automation, performance testing, reporting, tool implementations, crowd testing, test assessments, and data migration testing — always adapting the approach to the context rather than applying a one-size-fits-all framework.
Today my focus has shifted to the frontier of AI in the workplace. I'm actively implementing AI-powered solutions that deliver immediate, tangible business results — from bug clustering and AI-driven automation to LLM-driven reporting and automated knowledge extraction. Not experiments for the sake of experimenting, but real tools in real workflows that measurably reduce cycle time, cut costs, and raise quality. I believe AI adoption should be driven by outcomes, not hype, and I bring that mindset to every team I work with.
A set of principles that guide every project, from test strategy to tooling decisions.
Curiosity does not respect domain boundaries. The things I care about outside of work sharpen how I think inside of it.
Whether it's a quality engineering challenge, an AI integration opportunity, or a conversation about better tooling.