Björn 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 Breisgau
Diplom (BA) -- equiv. Bachelor of Science, Applied Computer Science, Diplom (BA) -- equiv. Bachelor of Science, Applied Computer Science at DHBW Mannheim
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