Willem Melder
Data Engineer
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolWillem 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.
10 years of coding experience
7 years of employment as a software developer
MSc, Cognitive Artificial Intelligence, MSc, Cognitive Artificial Intelligence at Utrecht UniversityDr. F.H. de Bruyne Lyceum
Stackoverflow
1reputation
0reached
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Github Skills (79)
parser10
uri10
serializer10
credit10
pypi10
linked-data10
catalog9
triplestore9
dms9
api9
ckan9
tuple9
scientific-publications9
python9
terminology9
Programming languages (8)
Github contributions (5)
beeldengeluid/beng-lod-server
Nov 2018 - Dec 2022
LOD server for B&G catalogue
Contributions:99 reviews, 506 commits, 113 PRs in 4 years 1 month
cataloguelod
beeldengeluid/comunica-web-client
Nov 2021 - Jan 2025
A Web-based client to query the Web of Linked Data, using SPARQL or GraphQL-LD, powered by Comunica.
Contributions:3 reviews, 8 PRs, 40 pushes in 3 years 2 months
queryjsonldlinked-datacomunicaweb-based
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