Willem Melder

Data Engineer

Randstad, Netherlands
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Summary

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Senior
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Top School
Willem Melder is a data engineer with over a decade of experience applying AI and speech technology to improve access to audiovisual archives at the Netherlands Institute for Sound and Vision. He has led projects that convert radio to text via speech recognition, ingest teletext subtitles, integrate shared audiovisual thesauri, and expose archival metadata via OAI-PMH, blending research and production delivery. Earlier roles include building affective computing demonstrators at TNO and co-founding a spoken-dialogue startup, giving him rare hands-on expertise across speech systems, user-facing demos, and archival metadata pipelines. Based in the Randstad, he combines academic training in Cognitive AI with practical project leadership, and often works at the intersection of R&D and real-world deployment. An understated strength is his long track record of translating experimental speech research into robust, operational services.
code10 years of coding experience
job7 years of employment as a software developer
bookMSc, Cognitive Artificial Intelligence, MSc, Cognitive Artificial Intelligence at Utrecht University
bookDr. F.H. de Bruyne Lyceum
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Stackoverflow

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Github Skills (55)

serializer10
catalog9
skos9
linked-data9
rdflib9
graph9
semantic-web9
parser9
uri9
api9
open-data9
ckan9
sparql9
pypi9
json-ld9

Programming languages (10)

TypeScriptJavaLiquidShellMakefileVueJavaScriptPHP

Github contributions (5)

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LOD server for B&G catalogue
Contributions:116 reviews, 506 commits, 122 PRs in 4 years 1 month
cataloguelod
A Web-based client to query the Web of Linked Data, using SPARQL or GraphQL-LD, powered by Comunica.
Contributions:3 reviews, 16 PRs, 49 pushes in 4 years 8 months
graphqllinked-datasparql
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