Björn Buchhold
Technology Evangelist at CID
Frankfurt Rhine-Main Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolBjörn Buchhold is a Technology Evangelist with 11 years of experience applying state-of-the-art NLP and machine learning research to real-world products and large-scale knowledge graphs. He holds a PhD in computer science and built research-grade systems like QLever during his doctoral work, then translated that expertise into production ML, data ingestion and algorithmic reconciliation for tens of millions of company and person nodes. At CID he prototypes PoCs, coaches data science squads, and designs datasets and evaluation pipelines to make transformer models deliver measurable business value. His technical toolkit spans PyTorch, Hugging Face, fastai and neo4j, and he routinely bridges the gap between research papers and customer-ready features. Less obvious: he combines rigorous algorithmic thinking from his PhD with hands-on engineering to keep both model quality and operational scalability aligned. Based in the Frankfurt Rhine-Main area, he focuses on preparing teams for upcoming business and technical requirements.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Albert-Ludwigs-Universität Freiburg im BreisgauDiplom (BA) -- equiv. Bachelor of Science, Applied Computer Science, Diplom (BA) -- equiv. Bachelor of Science, Applied Computer Science at DHBW Mannheim
Stackoverflow
3,876reputation
402kreached
103answers
24questions
algorithm
top-5%
Github Skills (55)
pytorch10
skos10
dbpedia10
python10
blazegraph10
semantic-web10
virtuoso10
fastai10
knowledge-graph10
query-language10
text-search10
query-engine10
rdf10
sparql10
wikidata10
Programming languages (4)
Github contributions (5)
ad-freiburg/qlever
Dec 2014 - May 2018
Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.
Contributions:502 commits, 14 PRs, 466 pushes in 3 years 5 months
semantic-search-enginetext-searchknowledge-graphsemantic-webknowledge-graphs
Buchhold/MaterialsMirror
Oct 2015 - Oct 2015
Contributions:1 push, 1 branch in 1 day
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