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Real-world engineering challenges solved across enterprise data, document processing, and agentic automation.
Precision-engineered RAG for enterprise scale
Built a distributed document processing pipeline to ingest millions of legacy documents, extract structured entities, and enable high-fidelity Q&A across the entire catalog.
Custom RAG for internal knowledge bases
Transformed static document repositories into interactive AI assistants that understand domain-specific terminology and provide cited answers for engineering teams.
Complex agentic reasoning for extraction
Designed a multi-step agent architecture to automate the parsing of diverse and unstructured energy market data, extracting over 100 domain-specific entities with high confidence.
Scalable multimodal ingestion for messy data
Developed automated ingestion pipelines that correctly group and parse complex, disparate data sources — including handwritten notes, tables, and mixed documents.