Umair A.

I help organisations build AI systems that understand and use their domain knowledge. I specialise in ontologies, knowledge graphs, and neuro-symbolic AI, offering technical consultancy and hands-on development from initial design to implementation. I am a PhD researcher in Artificial Intelligence. I build systems that combine structured knowledge with LLMs for question answering, information retrieval, and reasoning. My experience spans tax, regulatory compliance, healthcare, legal, enterprise knowledge management, and research domains. My work focuses on using ontologies and knowledge graphs to make LLM outputs more accurate, explainable, and grounded in domain knowledge. I can help you assess feasibility, design system architecture, select tools, and evaluate results. I can help you with: Technical consultancy on ontologies, knowledge graphs, neuro-symbolic AI, and RAG Knowledge graph design and construction for your domain OWL ontology engineering, SPARQL querying, and semantic reasoning LLM-assisted ontology and knowledge graph construction from regulatory compliance, and domain-specific documents Neuro-symbolic AI systems combining ontologies, knowledge graphs, and LLMs RAG pipelines that retrieve from documents and structured knowledge Ontology-grounded question answering and document summarisation Neo4j graph databases and Cypher query development Knowledge extraction and formalisation from unstructured documents Tools: OWL, Protégé, RDF, SPARQL, Neo4j, Cypher, LangChain, Python, PyTorch, and Hugging Face. Whether you need advice on your approach or support building the system, let’s discuss your project.