Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

Review and interpret mechanical and manufacturing client data, guide data processing teams on relevance and tagging, validate processed outputs, support quality checks, and provide domain input during client discussions.