At OOONO A/S, I took a production algorithm from data pattern discovery through deployment, automated testing, and monitoring. I designed its AWS Glue/PySpark pipeline for platform trust and abuse prevention, and built tests to validate pipeline correctness before release.
At CONWX, I designed, trained, and deployed forecasting and anomaly-detection algorithms for wind and solar data. The models beat the established quantile forecast model on MAE, CRPS, and speed.
My engineering work includes supporting grid integration and performance analysis for wind farms at ROKAS RENEWABLES (IBERDROLA GROUP), and developing SQL-based logistics and cost optimization tools as an intern at ENERCON GMBH. I hold master’s degrees in Sustainable Energy and Electrical and Computer Engineering.

