07/08/2026 updated
100 % available
Knowledge Engineer | Al Engineer | Ontologist | Semantic Architect | AI Data Context Engineer
Alicante, Spain
Worldwide
B.Sc Geology, University of Port Harcourt, NigeriaJavaScriptVbscriptArtificial IntelligenceAtlassian JiraBig DataComputational LinguisticsData GovernanceData IntegrationExtract Transform Load (ETL)Data ModelingRelational DatabasesEntity Relationship ModelsGraph DatabaseGraph TheoryInformation Architecture
- Familiar with W3C’s Semantic Web technology stack (RDF, OWL, SHACL, SPARQL, SKOS, WebID-TLS) concepts and techniques to design, implement and maintain complex Linked Data and Semantic Data models.
- Experienced in representing Real-World Objects and Concepts with data for human and machine comprehension with Semantic Technology.
- Experienced in leveraging Retrieval Augmented Generation (RAG) tools like Llama-Index, Langchain and prompt engineering to build Large Language Model (LLM), Conversational AI, Generative AI apps with Knowledge Graphs and Vector Databases like ChromaDB, Pinecone.
- Ability to lead the design and development of Knowledge Management Systems like Knowledge Graph.
- Experienced in applying Natural Language Processing to Semantic Data models to solve business problems
- Experienced with the Low-Code MVC based Knowledge Graph (Model) driven development using Python & Single Page Apps (JavaScript, HTML5) for building Semantic Web applications.
- Knowledge of Data Integration and Management concepts such as Semantic Data integration, Knowledge Graphs, FAIR principles, Data pyramid, Data Governance, GDPR, Open Data and Data Privacy principles.
- Experienced in Data Modeling & Ontology Engineering based on Open Source and new RDF/OWL schemas, ability to translate business needs into concrete Ontological Representations (data schema and organization).
- Experienced in prototyping, testing, and productionizing ETL & ELT Pipelines to recognize entities in a Knowledge Graph, infer new knowledge (Knowledge Base Population, Relation Extraction, Entity Matching, Named Entity Recognition, Reasoning) and to keep Linked Data resources up to date from various data sources.
- Experienced in Data manipulation and Transformation using SQL, SPARQL, Relational Databases, Graph Databases like Virtuoso, Fuseki.
- Experience with definition, structuring and optimization of hierarchical data sets, definition and maintenance of hierarchical relationships of terms for Taxonomies & Thesaurus using SKOS.
- Experienced in representing Real-World Objects and Concepts with data for human and machine comprehension with Semantic Technology.
- Experienced in leveraging Retrieval Augmented Generation (RAG) tools like Llama-Index, Langchain and prompt engineering to build Large Language Model (LLM), Conversational AI, Generative AI apps with Knowledge Graphs and Vector Databases like ChromaDB, Pinecone.
- Ability to lead the design and development of Knowledge Management Systems like Knowledge Graph.
- Experienced in applying Natural Language Processing to Semantic Data models to solve business problems
- Experienced with the Low-Code MVC based Knowledge Graph (Model) driven development using Python & Single Page Apps (JavaScript, HTML5) for building Semantic Web applications.
- Knowledge of Data Integration and Management concepts such as Semantic Data integration, Knowledge Graphs, FAIR principles, Data pyramid, Data Governance, GDPR, Open Data and Data Privacy principles.
- Experienced in Data Modeling & Ontology Engineering based on Open Source and new RDF/OWL schemas, ability to translate business needs into concrete Ontological Representations (data schema and organization).
- Experienced in prototyping, testing, and productionizing ETL & ELT Pipelines to recognize entities in a Knowledge Graph, infer new knowledge (Knowledge Base Population, Relation Extraction, Entity Matching, Named Entity Recognition, Reasoning) and to keep Linked Data resources up to date from various data sources.
- Experienced in Data manipulation and Transformation using SQL, SPARQL, Relational Databases, Graph Databases like Virtuoso, Fuseki.
- Experience with definition, structuring and optimization of hierarchical data sets, definition and maintenance of hierarchical relationships of terms for Taxonomies & Thesaurus using SKOS.
Languages
EnglishFluent
Project history
Ontology (DIO) , a structured computational data model on Disease Incidence or Outbreak
information on COVID-19. Ontology modeling concepts: inheritance, relationship types such as
symmetry, transitivity. Developed hierarchical taxonomy based on SKOS. (RDF, OWL
Ontology, SKOS, SHACL, SPARQL). 2020.
information on COVID-19. Ontology modeling concepts: inheritance, relationship types such as
symmetry, transitivity. Developed hierarchical taxonomy based on SKOS. (RDF, OWL
Ontology, SKOS, SHACL, SPARQL). 2020.
requirements and define information assets needed to enable strategy. Inventory and document
data assets, their ownership and governance model, and their maturity. Produced conceptual
data models that link key processes and requirements to information needs. 2021 - 2022.
data assets, their ownership and governance model, and their maturity. Produced conceptual
data models that link key processes and requirements to information needs. 2021 - 2022.
Ontology (DIO) . Built a pipeline of automated Ontology Reasoning to automatically extract
knowledge from the scientific literature/data to be combined with local and external datasets
including DBpedia. Collaborated with an Epidemiologist to inject more knowledge and created
algorithms. (RDF, Disease Incidence Ontology, Virtuoso Triple Store, RDFlib, Python,
Networkx). 2020 -2021.
* Project lead / Knowledge Engineer , Red Flag Project, a Knowledge Graph and Data
Analytics platform on Ghana Public Sector Corruption . Designed and developed OWL-
based Corruption Ontology and SKOS-based Taxonomy. Built a bot to extract semantically
enriched data from 33 web sources of Ghanaian news. Features include Dashboard, Semantic
Search, Corruption data classifier, Corruption Pipeline Analytics and Legal Analytics (RDF,
OWL, SPARQL, Turtle, JSON-LD, JSON, HTML5, Python, Flask, SQLAlchemy, D3.js
Visualization, NetworkX, Data.World, MySQL, Semantic Search, Document Classifier
using Naive Bayes Algorithm). 2018-2019.
knowledge from the scientific literature/data to be combined with local and external datasets
including DBpedia. Collaborated with an Epidemiologist to inject more knowledge and created
algorithms. (RDF, Disease Incidence Ontology, Virtuoso Triple Store, RDFlib, Python,
Networkx). 2020 -2021.
* Project lead / Knowledge Engineer , Red Flag Project, a Knowledge Graph and Data
Analytics platform on Ghana Public Sector Corruption . Designed and developed OWL-
based Corruption Ontology and SKOS-based Taxonomy. Built a bot to extract semantically
enriched data from 33 web sources of Ghanaian news. Features include Dashboard, Semantic
Search, Corruption data classifier, Corruption Pipeline Analytics and Legal Analytics (RDF,
OWL, SPARQL, Turtle, JSON-LD, JSON, HTML5, Python, Flask, SQLAlchemy, D3.js
Visualization, NetworkX, Data.World, MySQL, Semantic Search, Document Classifier
using Naive Bayes Algorithm). 2018-2019.