Horsens, Denmark · Open to relocation
I design solutions that fit the problem — not just the technology. Engineer by training, business thinker by choice, problem solver by habit.
Who I Am
I'm an engineer who thinks in business outcomes — and a business thinker who can implement technically. That combination is what my career has been building toward, and what my Master's formalised.
Over the past eight years I've worked across IT operations, service management, and academic research — at organisations like Maersk, NATO, and the LEGO Group. I've run multi-site IT infrastructure, automated incident management at scale, and designed data governance frameworks from scratch. What connects all of it is a consistent approach: understand the full picture before proposing a solution, then build something that actually fits.
I finished a two-year Master's in sixteen months — not because I was in a hurry, but because I set a high bar and held it. I'm now looking for a role where I can apply that same discipline to real organisational challenges — whether that's in IT service management, digital transformation, process improvement, or project delivery.
Academic Background
Completed a 120 ECTS engineering master's in approximately 16 months — a programme designed for 24. Graduated ahead of schedule with the highest possible thesis grade, while conducting real-world projects inside LEGO, Maersk, and Port Esbjerg. The degree sits at the intersection of engineering and business: rigorous in methods, applied in context — covering data governance, business model innovation, AI evaluation, Six Sigma, and machine learning.
Three and a half years of software engineering fundamentals — covering the full development stack from object-oriented design in Java and C# / .NET, through databases, agile methodologies, and end-to-end product delivery.
Professional Background
Selected Work
Technological Business Model Innovation
Assessed drone integration for Europe's leading offshore wind port. Modelled As-Is and To-Be states using BMC and Cambridge BMIP, defined 6 use cases across 4 drone types, and designed a full-lease low-CAPEX strategy with an Infrastructure-as-a-Service revenue model for external operators.
AI vs Manual Analysis · Real Enterprise Dataset
Processed 3,950 live ServiceNow incident tickets from Maersk through both manual review and AI (Copilot Pro) — a like-for-like evaluation identifying a 59.87% AI error rate in CI classification. Proposed a hybrid AI-human framework with Power Automate integration, projecting AI accuracy growth from 26% to 50% over 12 months while halving manual processing costs.
Real Client · Production Deployment
Digitally transformed a real barbershop in Horsens — replacing a phone-and-paper booking system with a full-stack web platform. Delivered a customer-facing booking wizard and a secure admin dashboard, built with React, .NET Core, PostgreSQL, and SignalR for real-time slot availability. Shipped with JWT auth, 5 CI/CD pipelines via GitHub Actions, and 23 automated Selenium test cases — all passing.
What I Bring