I’m a Senior Knowledge Graph Architect with deep expertise in designing and implementing ontologies, taxonomies, and knowledge graphs that power intelligent systems and data-driven decision-making. My work bridges the gap between data science, AI, and semantic technologies, helping organizations structure complex information into actionable knowledge. Over the past years, I’ve worked on projects involving:
- Building domain-specific ontologies (Finance, Machine Learning, HR, Healthcare, and more)
- Designing and implementing Knowledge Graphs using Neo4j, Amazon Neptune, and RDF standards.
- Integrating NLP and LLMs to extract, enrich, and validate knowledge from text.
- Developing semantic search, recommendation, and reasoning systems.
- Enabling data interoperability and standardization across enterprise systems.
I’m passionate about transforming unstructured data into structured knowledge that fuels intelligent automation, contextual search, and explainable AI. My approach combines ontology design best practices, data governance, and real-world implementation experience to ensure scalable and sustainable knowledge solutions.