I learned the stack the hard way — then made it move faster.
The maths came first — I'm reading Civilingenjör i teknisk matematik at KTH — applied computational mathematics, weighted toward data science and financial mathematics. It's the background that lets me treat Monte Carlo, regression and optimisation as engineering tools rather than coursework.
Then the systems — At Fairlo I built a FastAPI service on AWS and Snowflake that automated call-centre outreach, plus regression-based reporting across every schema. At Abeloo I modernised the platform and wrote an automation tool that took an internal research report from an hour to a minute.
Now the products — Three early-stage ventures with live users — a scheduling engine in Rust, a delivery backend, a tested micro-betting core. I take them end-to-end: data model, billing, and the interface people actually touch. When the brief is reach rather than throughput I build for that instead: the Habitat 10 site I wrote holds the top organic result and is the source Google's AI Overview cites.
