I started with web development, building applications and understanding how software works from the inside. Over time, curiosity and increasingly complex problems led me into data integration, automation, cloud infrastructure, software delivery, security, and reliability. Each new area added a different perspective, gradually changing how I understood the others.
I became particularly interested in problems that cross these boundaries. Finding the real cause often means looking beyond the obvious symptoms, connecting seemingly unrelated details, and questioning assumptions. I enjoy making sense of unfamiliar systems, breaking down complexity, and turning what I discover into practical, maintainable solutions.
My work has ranged from building applications and integrating data to developing tools, automating workflows, and improving how software is delivered and operated. These experiences have taught me to balance hands-on experimentation with systematic thinking: understand the problem, test assumptions, consider tradeoffs, and keep solutions as simple as the situation allows.
Automation has had a particular influence on my approach. Making something work once is one challenge; understanding it well enough to make it repeatable, reliable, and adaptable is another. I value clear responsibilities, composable components, and behavior that can be verified rather than simply assumed.
Over time, I've also become interested in what remains after a problem is solved. Every investigation can reveal useful patterns, hidden constraints, or better ways of working. I try to turn that experience into tools, tests, documentation, and workflows so the next iteration can build on what was learned rather than start from scratch.
This way of thinking also inspired Relativity Warp.
Einstein's theory of relativity changed our understanding of space and time by showing the importance of frames of reference. General relativity went further, describing gravity through the curvature—the warp—of spacetime.
I like the connection as a metaphor: changing perspective can reveal relationships that weren't obvious before, while a deeper understanding can change how we approach the problem itself.
Relativity Warp is where I explore ideas emerging from my engineering experience, question familiar assumptions, and develop new ways of thinking about systems and the work around them.
One of these explorations is the Engineering Memory Model, which examines how practical experience can become reusable knowledge while preserving its context, evidence, and ability to evolve.