About Me

I’m preparing to study Elektrotechnik und Informatik at Uni Bremen.

My Engineering Philosophy

Belief isn’t enough. I have to know.
Unless there is a time constraint.
Then I pray that it works.

Engineering should be grounded in data, not opinions. Claims without evidence are just that, claims. Before I accept a “best practice,” I want to see the benchmarks, the edge cases, the trade-offs documented.

Measure everything. Guesswork leads to guesswork, data leads to understanding.

Question conventions. Patterns are useful shorthands, but they calcify quickly. I prefer understanding why something works, not just that it works.

Verify, don’t trust. Documentation lies. Blog posts age poorly. The only truth is what I can reproduce on my own system with my own workload.

This Blog

Here I document experiments, share findings, and showcase projects. If I write about something, I’ve likely benchmarked it, broken it, and rebuilt it. Expect code, data, and the occasional rant about cargo cult programming.

Technical Interests

• Low-Level Systems: C, assembly, operating systems—where software meets silicon
• AI & ML: PyTorch, transformers, understanding what neural networks actually learn
• Performance Optimization: x86_64, SIMD, cache effects that textbooks ignore
• Markup: $\small \LaTeX$, $\small \text{Typst}$, CommonMark, XML…

About My Studies

Preparing for Elektrotechnik und Informatik at Universität Bremen. Electrical engineering provides the physical foundation; computer science provides the abstraction tools. Together, they let me build systems I actually understand.