Thomas Dehaene

NLP Chapter Lead

Machine learning
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Thomas has a strong passion for all things NLP: ranging from new SOTA Language Model papers until putting full-scale text-search systems into production. 

He has a particular interest and expertise in the area of multilingual NLP, a field that is becoming increasingly developed and important to unlock value for non-English use-cases.

As a Chapter Lead for the NLP Chapter, he and the team observe the landscape and evaluate and refine what is happening into useful best-practices, templates and tips for both internal and external knowledge advancement.

Next to this, he also tries to stay as much up-to-date on geographic data and geo-ml as possible.

As part of the Delivery Unit, Thomas helps companies accelerate their AI efforts by implementing NLP realisations for real-world problems into production-ready cloud solutions.

Given his background in Engineering and working experience as a Consultant, he feels a special sense of pride when being able to make advanced technical matters explainable and relatable to wide audiences.

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