Become a sponsor to Friedrich Lindenberg
I'm a freelance developer working on tools for anti-corruption. My focus is OpenSanctions, an open source database of persons of interest from sanctions, criminal and political contexts. Like a contrast dye in medical imaging, sanctions data can be an essential tool that helps financial service providers and journalists identify suspect entries in datasets.
My goal is to make OpenSanctions into a sustainable resource that provides a baseline global due diligence dataset, with both the data and the pipeline used for its generation available freely to fintechs, regtechs, investigators and analysts. Acquiring such data is a basic task for these groups, and it makes sense to pool the effort into an open dataset, rather than funding duplicate development in-house. Sponsorships on GitHub will help me maintain the existing pipeline and adding new data sources and features.
For the last six years, I've worked for the an international network of investigative journalists and built Aleph, an open source knowledge graph system that lets investigators browse leaked document sets, company registries, procurement data and financial data.
I'm based in Berlin, Germany. Get in touch if you have an interesting project you'd like to discuss with me.
Featured work
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pudo/dataset
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
Python 4,774 -
alephdata/aleph
Search and browse documents and data; find the people and companies you look for.
JavaScript 2,033 -
alephdata/followthemoney
Data model and processing tools for investigative entity data
Python 217 -
pudo/normality
A tiny library for Python text normalisation. Useful for ad-hoc text processing.
Python 144 -
alephdata/fingerprints
Make it easier to compare and cross-reference the names of companies and people by applying strong normalisation.
Python 145
10% towards 10 monthly sponsors goal
1 other sponsors this goal