About
Technology has always been the thread.
I started working with technology while I was still at university. What began with software development gradually led me into enterprise systems, international projects and, eventually, SAP.
More than two decades later, the technologies have changed quite a bit. What keeps me interested hasn't.
Technology
SAP
Years of experience
Enterprise Tech + AI
01
Deep roots in enterprise technology.
Since 2006, SAP has been a major part of my professional life.
Over the years, I've worked across SAP HCM, SuccessFactors, integrations and transformation initiatives in complex international environments.
I've been part of implementations, rollouts, support, continuous improvement and projects where different systems, teams and requirements all had to come together.
But the technology itself has never been the most interesting part to me.
What I enjoy is understanding how things connect: the business problem, the process, the system, the technical constraints and the people who ultimately have to make it work.
02
Between business and technology.
I've spent much of my career somewhere between the functional and technical sides of a problem.
I like understanding what the business actually needs, translating that into a solution, working with technical and integration teams, testing what has been built and finding the inconsistencies that are easy to miss when everyone is looking at only one part of the system.
That ability to move between different perspectives has become one of the most consistent threads in the way I work.
03
AI came back into the picture
Not exactly a new chapter.
My first experience with artificial intelligence came long before today's generative AI wave.
I worked on an R&D project involving neural networks and simulation for evacuation planning at the Angra 2 nuclear power plant.
Years later, AI entered my professional world again from a very different direction.
I completed postgraduate studies in Data Science & Machine Learning and expanded my work into cloud, automation, generative AI and SAP Business AI.
Today, I'm particularly interested in what happens when AI meets the kind of complex enterprise environments I've spent years working inside.
How does AI get the right context?
How does it connect with existing systems and processes?
Where does automation actually help?
And how does a good demo become something people really use?
04
Connecting the pieces
I don't see this as leaving one field for another.
It feels much more like things that have been part of my career for years are finally starting to meet.
Enterprise systems. Business processes. Integration. Data. Automation. Intelligent systems. Problem solving.
The tools change. The environments change. The questions get more interesting.
After more than two decades in technology, I'm still most interested in the same fundamental question: