Niels Van Der Heijden
AI Lead at Brand New Day
Amstelveen, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolNiels Van Der Heijden is an AI lead with eight years of experience building and operationalizing AI solutions across consulting and fintech, currently leading AI at Brand New Day after senior AI roles at Deloitte. He specializes in few-shot learning, transfer- and meta-learning, graph neural nets and multi-modality, combining PhD research at Universiteit van Amsterdam with hands-on productization of systems like RegMiner and DocQMiner. He focuses on amplifying subject-matter experts’ knowledge and automating repetitive, domain-heavy tasks to create differentiated, scalable software. Comfortable bridging research and delivery, he has a track record of moving prototypes into business-facing solutions and enabling non-technical teams to leverage AI. Based in Amstelveen, he pairs a rigorous academic background in AI and business analytics with practical experience in risk and regulatory applications. An unassuming detail: he deliberately explores GNNs as a lighter alternative to massive transformers when data is scarce.
8 years of coding experience
5 years of employment as a software developer
Business Analytics/Business Mathematics and Informatics, 7,8, Business Analytics/Business Mathematics and Informatics, 7,8 at Vrije Universiteit AmsterdamMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Universiteit van AmsterdamGymnasium, Natuur & Techniek, Gymnasium, Natuur & Techniek at Blaise Pascal College
Github Skills (39)
hierarchical9
self-attention9
classification8
attention-mechanism8
document-classification8
pre-trained-model8
nlp7
multimodal-deep-learning7
language-understanding7
multimodal7
vision-and-language7
foundation-models7
sentence-similarity6
language-modeling6
machine-learning6
Programming languages (2)
Github contributions (5)
mrvoh/meta_learning_multilingual_doc_classification
Jan 2021 - Mar 2022
Placeholder repository
Contributions:13 commits, 3 PRs, 7 pushes in 1 year 2 months
machine-learningclassification
mrvoh/HCapsNet
Sep 2019 - Mar 2020
Hierarchical Attention Networks with Capsule Network Classifiers for Text Classification
Contributions:28 PRs, 97 pushes, 27 branches in 6 months
nlpdeep-learningattention-mechanismhierarchicalmachine-learning
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