Long project of rebuilding software platform from the ground up.- frontend equivalent functionality with ~40% less code- backend refactor from distributed Azure functions chains to Python FastAPI app. Improved response times, reliability and observability.- other responsibilities include Azure DevOps CI/CD and deployments of different projects

Anomaly detection for predictive maintenance. Part of an industrial research project, in this case the research subject was a large marine vessel engine that produced various data from its sensors (vibrations and several other parameters e.g. pressures, temperatures). I specifically compared how different styles of cluster analysis methods (K-Means, DBSCAN, Spectral Clustering, Correlation Clustering) behaved on this data set and what conclusions could be drawn from it.

Set up and customized knowledge base for company internal use

Development of internal data analysis tools and documentation of company software system

Software development of company web system and other IT related tasks.