I do not see AI as a shortcut around engineering, but as leverage: a way to explore ideas sooner, move through early versions faster, and focus more attention on the problems that matter.

I follow it closely because the pace of progress still feels unreal. New models and tools keep expanding what engineers can create, and I am constantly surprised by the gap between what once felt out of reach and what is now possible.

Before engineering, I worked in financial services, where I became interested in the systems behind everyday work: how information moves, where processes become difficult, and what better tooling can change. I later completed the Northcoders Data Engineering bootcamp and began building event-driven services, pipelines, and practical data tools.

Today, I work across data and AI while running Little Lotus, a web design and AI automation studio, a place to build useful things, explore new ideas, and stay close to a field that keeps moving.

Right, now onto the benchmarks.