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Build and scale data infrastructure for LLM training, fine-tuning, and RAG applications. Design ingestion and transformation pipelines, develop LangGraph-based agentic workflows, optimize vector databases and semantic retrieval, create structured and unstructured data models, and improve latency across embedding and retrieval systems. Collaborate with AI researchers and product managers to convert prototypes into production-ready AI data products.