Simon Rüba

Building enrik.ai, an AI-native go-to-market (GTM) platform.

Built an end-to-end anomaly detection pipeline feeding a digital twin, enabling predictive maintenance for more than 4,000 heat pumps.

Created GitLab CI/CD pipelines with automated linting and testing, and standardized infrastructure workflows and operational runbooks.

Worked on non-intrusive runtime analysis of embedded processors and built C# and C++ report generators for large-scale embedded studies.

Contributed to the EU-funded H2020 COEMS and HE TRISTAN research programs, exploring new approaches to debugging embedded systems.