Infinigrid
Production ML for the Norwegian power grid. Forecasting models that watch the electrical system and predict its risks before they bite. Time-series at grid scale, deployed.
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03
Notes
Who, what, and why the two halves fit together.
I started writing code at nine. My father is a software developer, and he handed it over early. The first thing I remember being mad about was a coding class that turned out to be drag-and-drop blocks instead of a real keyboard.
Today the work has three loops. Machine learning for the Norwegian public sector, industry, and now Infinigrid, a startup building forecasting models for the electrical grid. Full-stack sharpened in Go and Nuxt: backends, dashboards, pipelines. Hardware: soldered audio front-ends, FPGA filters, a kit-built 3D printer that eventually drew its own portrait.
The two halves feed each other. The CNN that classifies an analog signal is only as good as the op-amp in front of the ADC; the FPGA that filters a transducer only matters if there's a pipeline downstream. I like working where that boundary lives.