Umair Qudus
Researcher (Wissenschaftlicher Mitarbeiter) at Paderborn University
Paderborn, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolUmair Qudus is a computer scientist and Ph.D. candidate at Paderborn University with 11 years of experience applying data science, semantic web technologies, and machine learning to real-world problems. His research focuses on improving large-scale knowledge graph quality—especially fact-checking—through a blend of traversal, embeddings, and NLP, and he contributes to EU Horizon 2020 KnowGraphs work. He has bridged academia and industry as a research engineer in South Korea and as a data scientist and software engineer across startups and multinational teams, shipping production models, tools mapping SPARQL to APIs, and dataset-recommendation systems. A seasoned educator, he has taught machine learning to diverse audiences from master’s students to startup founders, and he prefers hands-on, proof-of-concept-driven R&D that moves ideas into deployed systems.
11 years of coding experience
7 years of employment as a software developer
Doctor's Degree, Computer Science, Doctor's Degree, Computer Science at Paderborn UniversityIntermediate, Pre-Engineering, Intermediate, Pre-Engineering at Army public college RawalpindiMasters of Science (MS), Computer Science, 3.42/4, Masters of Science (MS), Computer Science, 3.42/4 at National University of Computer and Emerging Sciences
Urdu, English, Korean, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (64)
dice10
rdf10
knowledge-graph8
api8
open-data8
graph8
credit8
gatsby8
catalog8
iso7
ckan7
publish7
metadata6
python6
evaluation6
Programming languages (4)
Github contributions (5)
dice-group/CostBased-FedEval
Apr 2019 - Apr 2021
An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
Contributions:1 release, 3 PRs, 112 pushes in 2 years
queryevaluationsparqlrdfsparql-query
umairq/umairq.github.io
Oct 2021 - Jan 2025
Contributions:21 pushes in 3 years 4 months
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