Rajaram Kaliyaperumal
Ontology Lead at Johnson & Johnson
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolRajaram Kaliyaperumal is an ontology lead and knowledge graph expert with 12 years of experience designing RDF/OWL-based data architectures and delivering ontology-driven solutions at Johnson & Johnson. He brings a research-to-production background from nearly a decade at Leiden University and Linköping University, where he combined semantic web technologies, RDF modelling, and biomedical text mining. Comfortable in both data and software realms, he pairs SPARQL/SHACL expertise with practical engineering skills in Java, Python, Spring Boot, Docker and SQL to help developer teams implement interoperable semantic solutions. His master's work on corpus construction using ontological domain knowledge and hands-on GUI development underscores a knack for turning formal models into usable tools. Based in the Randstad, he excels at bridging academic rigour and enterprise needs to make complex knowledge graphs actionable for business users.
12 years of coding experience
9 years of employment as a software developer
Master's, Biomedical Engineering, Master's, Biomedical Engineering at Linköpings universitetBachelor of technology, Biomedical Engineering, Bachelor of technology, Biomedical Engineering at Pondicherry University
English
Github Skills (96)
semantic-web10
metadata10
data-repository10
crossword10
java10
reconciliation10
data-model9
data-wrangling9
readable9
wikidata9
openrefine9
semantic9
dcat9
wikimedia9
data-analysis9
Programming languages (9)
Github contributions (5)
ejp-rd-vp/resource-metadata-schema
Jul 2019 - Aug 2022
Metadata model and schemas for the EJP virtual platform
Contributions:3 releases, 2 reviews, 94 commits in 3 years 2 months
registriesejprare-disease-registriesbiosample-registriesmetadata
DTL-FAIRData/linked-data-demo
Jun 2016 - Nov 2017
Contributions:21 PRs, 48 pushes, 1 branch in 1 year 6 months
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