Joren Janssens

EXPERTISE
& IMPACT

Quality engineering, data-driven decisions, and AI — building the teams and systems that turn complexity into clarity and confidence.

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Where quality, data, and AI converge

Driving measurable impact through structured quality engineering, early AI adoption, and the right tooling to keep teams moving fast without breaking things.

Defect Clustering
01
Test Strategy & Management
Quality Engineering
Designing end-to-end test strategies that scale with the product. From risk-based test planning to automation architecture, building quality in rather than inspecting it after the fact.
Reduced regression cycles from days to hours by restructuring test suites around business-critical paths, implementing smart parallelization, and establishing clear quality gates across CI/CD pipelines.
ai-agent
$ claude --agent predict-impact
◈ Loading 127 open defects...
◈ Embedding test steps for 1,843 test cases...
◈ Comparing failing steps to unexecuted tests...
DEF-0412 (login-timeout) — 23 tests at risk
DEF-0387 (cart-null-ref) — 14 tests at risk
Impact matrix exported (127 defects → 89 test groups)
Priority queue generated (top 15 flagged)

Done — 42 tests deprioritized, 15 escalated
02
Early Adoption & Integration
AI Innovation
With 100+ open defects, manual impact assessment is impossible. AI embeddings compare failing test steps against the full unexecuted suite to predict which tests share similar patterns and are likely to fail — before anyone runs them.
Automated defect-to-test impact prediction that surfaces at-risk tests instantly, letting teams prioritize execution, skip redundant runs, and escalate the right issues — turning days of triage into minutes.
deploy.yml
Build
Lint
Test
Gate
Stage
Prod
03
Developer & Team Productivity
Project Tooling
Building and selecting the toolchain that removes friction from delivery. Connecting test management, reporting, CI/CD, and collaboration tools into a coherent system that teams actually use.
Implemented integrated tooling ecosystems that unified test reporting, defect tracking, and deployment visibility, giving stakeholders real-time quality metrics and cutting decision latency across release cycles.

Pragmatist, builder, eternal experimentalist

Test Management Quality Engineering AI Integration Test Automation ERP Testing Project Tooling Performance Testing Data Migration

An incomplete grid offers a chance to continue growing.

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.

How I think about the work

A set of principles that guide every project, from test strategy to tooling decisions.

01
Quality is a design decision
Quality cannot be tested in after the fact. It is built in through architecture, process, and culture. The earlier you invest, the cheaper and more effective it is.
02
Automate the judgment, not just the clicks
Real test automation is not about replaying scripts. It is about encoding expertise into systems that make intelligent decisions about risk, coverage, and priority.
03
AI is a tool, not a strategy
AI amplifies what is already working. Adopt it where it creates genuine leverage, but never let it replace clear thinking about what you are trying to achieve.
04
Tooling should disappear
The best toolchain is the one nobody talks about because it just works. Reduce friction, unify visibility, and let people focus on the product instead of the process.

Beyond the build

Curiosity does not respect domain boundaries. The things I care about outside of work sharpen how I think inside of it.

AI & Emerging Technology
Constantly experimenting with new AI models, spatial computing, automation tools, and developer productivity platforms. First to try, first to share what actually works.
Knowledge Sharing
Mentoring testers and engineers, running internal workshops on AI adoption, and writing about the intersection of quality and technology.
Process & Systems Thinking
Fascinated by how teams organize, communicate, and deliver. Drawing from lean, agile, and systems theory to find the simplest path to reliable outcomes.
Family & Social Life
At the end of the day, the people around you are what matter most. I recharge through quality time with family and friends — good conversations, shared meals, and the kind of downtime that puts everything else in perspective.

Let's build something together

Whether it's a quality engineering challenge, an AI integration opportunity, or a conversation about better tooling.