Contact person: Business Client

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Location: Hyderabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m developing an ontology-driven large language model whose core task is robust knowledge representation aimed at seamless information retrieval and smooth data integration. The heart of the job is to craft a formal ontology that the model can ingest and reason over, then fine-tune or build an LLM so it can surface precise answers and merge heterogeneous data sources effortlessly.

The work spans three intertwined areas. First comes the ontology itself: classes, properties, and axioms captured in OWL/RDF (Protégé or an equivalent editor is fine) so the structure is machine-readable and logically sound. Next, that ontology needs to be embedded in—or tightly coupled with—an LLM, ideally via a knowledge-enhanced training pipeline using Python, Hugging Face Transformers, and whichever deep-learning stack (PyTorch, TensorFlow) you prefer. Finally, I’ll need an interface layer—RESTful or GraphQL—that lets external systems query the model for both ad-hoc information retrieval and automated data-integration workflows, with SPARQL or similar endpoints exposed where useful.

Deliverables
• Clean, validated ontology file (OWL/RDF)
• Fine-tuned or custom-built LLM weights plus training scripts
• API or microservice that accepts natural-language or structured queries and returns ontology-aligned answers/merged data
• Short technical document explaining setup, dependencies, and example queries

Acceptance criteria
• Ontology passes consistency checks in Protégé with zero unsatisfied classes.
• Retrieval accuracy on a provided test set ≥ 90 %.
• Data-integration demo shows two disparate sources mapped correctly into the shared schema.
• All code reproducible with a single [login to view URL] or environment.yml.

If this aligns with your expertise in semantic AI, let’s move forward—clarity of reasoning and clean code matter more than raw parameter count." (client-provided description)