I’m a Senior Applied Data Scientist helping organizations turn unstructured data into tested prototypes, decision-grade insights and integrated product features.
For 15+ years I have been in the role technical founder and founding engineer at multiple early-stage startups in Iceland, Netherlands, United Kingdom, and Spain.
I have built and deployed AI/ML systems and data pipelines that have processed millions of data points, providing among other things, age-appropriate search results for children, market insights for real estate investors, and impact information for urban planners.
I have broad background working on applied artificial intelligence (AI), data science, machine learning (ML), natural language processing (NLP) and search technology, and a specialization in their application to urban planning and sustainability.
My services include custom projects and standardasied Data-Driven Insights for Sustainable Cities as part of my own startup urbanixm.
Custom Projects
Search Systems
End-to-end development of domain-specific search and RAG systems that are measurable, debuggable, and transparent. My approach combines classic information retrieval, modern embedding-based retrieval, and systematic relevance evaluation to improve answer quality.
Applied AI
Development of special purpose machine learning models and fine-tuning of LLMs for task such as information extraction and content classification.
Geospatial Data Analysis
Processing and joining of heterogenous geospatial data and extracting insights through statistical analysis and informative visualizations.
Data-Driven Insights for Sustainable Cities
urbanixm supports sustainable urban development through custom data analysis, case study research, and interactive tools to support decision-making, combining global best practice with knowledge of local context.
- Urban Data Analysis
- Global Case Study Research
- Custom Analysis & Prototyping
More information at urbanixm.