Senior Applied Scientist & Software Engineer

Senior Applied Scientist & Software Engineer helping early-stage startups transform cutting-edge research into market-ready products. 15+ years building AI/ML systems that solve real business problems across 6 countries and multiple industries.

Specialized in: Taking startups from founders' market insights to a minimum viable product (MVP) in 3-6 months using artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and search technology.

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From Science to Market

I am a senior applied scientist and software engineer with 15+ years of experience transforming academic research into operational software. I have been in the role technical founder or founding engineer at multiple early-stage startups in Iceland, Netherlands, United Kingdom, and Spain with additional participation in the startup scene in Germany and France.

Track record: Built and deployed AI/ML systems and data pipelines that have processed millions of data points, to provide, among other things, age-appropriate search results for children, market insights for real estate investors, and impact information for urban planners.

Perfect for startups that need: A technical leader who can bridge the gap between cutting-edge research and market-ready products, fast.

Service Offering

From idea to product in 3-6 months:

  • Training, fine-tuning, and evaluation of task-specific machine learning systems (ML) and large language models (LLMs).

  • Development and evaluation of ranking algorithms, including their deployment as search engines and retrieval-augmented generation (RAG) applications.

  • Data pipelines (ETL + APIs): Focused web crawls, data extraction, ingestion into knowledge bases or other data stores, and deployment of data services via APIs.

  • Spatial Informatics: Processing and interconnecting heterogeneous geographic datasets to provide deeper understanding of the world around us, with a special focus on environmental sustainability.

  • Prototypes and minimum viable products (MVPs) for extracting data-driven insights and rapid business model validation.

Past work (selected examples)

  • Web crawling and information extraction (using LLMs) to build an explorable knowledge base providing insights into the impact of urban interventions and policy decisions (Urbanixm).

  • Intelligent document processing to facilitate AI powered post-trade processing for financial institutions (Banqora).

  • Discovery of diverse data sources related to commercial real estate, ingestion into an interoperable data-format and serving via APIs (Placemake.io).

  • Machine learned estimation of reading level needed to understand a piece of information (WizeNoze).

  • Using machine learning to identify and disambiguate brand references in media articles (brandcrumb).

  • Interactive data-stories on a range of topics for various clients:

    • Analyzing the pricing of energy performance certificates in residential real estate.

    • Identifying opportunities for symbiotic CO2 recycling.

    • Exploring carbon-insetting opportunities in the fashion sector.

  • Generating knowledge graphs from diverse sources to enable faceted exploration of image search results [WWW 2010 | pdf] (Yahoo! Research / Yahoo! Image Search).

  • Facilitating exploration of Flickr photos through semantically structured tag clouds [summary | technical report] (Yahoo! Research).

  • Providing focused access to sub-article-level information from Wikipedia through a specialized search engine [DIR 2006 | pdf] (University of Amsterdam)

Get in touch on LinkedIn or drop me an email for more information about rates and availability.

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