You will get Knowledge Graph and Linked Data Consultant
Project details
I help organizations transform complex, siloed data into intelligent Knowledge Graphs that drive smarter decisions and an AI-ready data infrastructure that delivers real business value.
With more than 4 years of hands-on experience, I have designed semantic solutions that improved data transparency and cut production costs. My work spans the full KG lifecycle — ontology design, RDF/OWL/SHACL modeling, SPARQL querying, and graph validation.
Knowledge Graphs are the backbone of modern AI. They give LLMs structured, reliable context — enabling retrieval-augmented generation (RAG), reducing hallucinations, and making AI outputs explainable and trustworthy. If you're building AI agents, semantic search, or data-driven products, a well-structured KG is your competitive edge.
What I bring:
1. Ontology & taxonomy design (SKOS, OWL, SHACL)
2. RDF, SPARQL, Cypher implementation
3. Structured SME interviews to capture domain knowledge accurately
4. AI-ready graph architecture for RAG & LLM integration
5. Python development & Docker deployment
Let's build your knowledge graph right.
With more than 4 years of hands-on experience, I have designed semantic solutions that improved data transparency and cut production costs. My work spans the full KG lifecycle — ontology design, RDF/OWL/SHACL modeling, SPARQL querying, and graph validation.
Knowledge Graphs are the backbone of modern AI. They give LLMs structured, reliable context — enabling retrieval-augmented generation (RAG), reducing hallucinations, and making AI outputs explainable and trustworthy. If you're building AI agents, semantic search, or data-driven products, a well-structured KG is your competitive edge.
What I bring:
1. Ontology & taxonomy design (SKOS, OWL, SHACL)
2. RDF, SPARQL, Cypher implementation
3. Structured SME interviews to capture domain knowledge accurately
4. AI-ready graph architecture for RAG & LLM integration
5. Python development & Docker deployment
Let's build your knowledge graph right.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, MongoDBWhat's included $30
These options are included with the project scope.
$30
- Delivery Time 1 day
- Number of Revisions 0
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ES
Eisha S.
Dec 18, 2025
Mystery Shopper for Healthcare Evaluations in Germany
About Uzoma
Backend Semantic Solutions for Digital Transformation
Paderborn, Germany - 6:57 am local time
With hands-on experience in backend development and solution architecture, I bridge the gap between semantic modeling and real-world implementation. I work with technologies like Neo4j, GraphDB, Amazon Neptune, Python, Java, and C#, ensuring your data is not only structured but also actionable. From SHACL validation to SPARQL endpoint setup, I provide end-to-end support for semantic applications.
My services include:
- RDF modeling and ontology design using Protégé
- SPARQL query development and optimization
- SHACL shapes for data validation
- Backend integration with RESTful APIs
- Semantic annotation of legacy or flat data
- Knowledge graph construction for domains like HR, education, healthcare, and research
- Documentation and onboarding support for your team
What sets me apart is my ability to combine deep semantic expertise with practical backend engineering. I don’t just model data — I make it work for you. I offer flexible packages (Basic, Standard, Premium) tailored to your project’s complexity, with clear timelines and deliverables. Whether you're a startup, researcher, or enterprise, I help you build smarter systems that scale.
Let’s transform your data into insight. Connect with me to get started or request a custom offer.
Steps for completing your project
After purchasing the project, send requirements so Uzoma can start the project.
Delivery time starts when Uzoma receives requirements from you.
Uzoma works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Audit
Review and assess the client's existing data sources, formats, and structure to identify relationships, gaps, and the best approach for building a connected, queryable knowledge graph tailored to their specific needs.