Thomas Van Dongen is Head of AI Engineering at Springer Nature with 11 years of experience building ML-driven products for the scientific domain, blending production-focused engineering with NLP research. He co-founded The Minish Lab to advance efficient, eco-friendly NLP tooling and maintains active open-source work (github.com/Pringled) on lightweight embeddings, nearest-neighbor search, and semantic deduplication. Previously he led recommender systems and ML teams at Slimmer AI and Springer Nature Group, and earlier co-founded Gronalytica to automate exam grading in pharma. With a master’s in Artificial Intelligence from the University of Groningen, he combines academic rigor with startup pragmatism and a clear focus on scalable, sustainable ML. An understated strength is shipping compact, high-performance models that lower inference cost while preserving SOTA quality.
10 years of coding experience
7 years of employment as a software developer
Praedinius Gymnasium
Pre-master, Artificial Intelligence, Pre-master, Artificial Intelligence at Rijksuniversiteit Groningen
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Groningen
The Fastest State-of-the-Art Static Embeddings in the World
Contributions:9 releases, 71 reviews, 136 PRs in 6 months
aiembeddingsmachine-learningmodel2vecnlp
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Thomas Van Dongen - Head Of AI Engineering at Minish