
Lave Kumar
Data Scientist and Agentic AI Specialist
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AI Engineer / Agentic AI
Hitachi • Fulltime
Jul 2024 - Present • 1 yr 10 mos
NL2SQL – AI Search MODE (Google Search) ▸ Designed and implemented an NL2SQL query system that converts natural language requests into structured SQL queries for internal data retrieval. ▸ Built an intelligent query-routing layer that determines whether a request can be answered using internal PostgreSQL databases before falling back to external web crawling. ▸ Implemented a decision pipeline (Classify → Route → Query → Validate → Respond) to ensure accurate and controlled data access. ▸ Added query result caching to reuse previously computed answers, reducing database load and improving response latency. ▸ Enabled contextual retrieval using PostgreSQL + pgvector for semantic matching of user intent with existing structured data. ▸ Conducted performance tuning and benchmarking to balance accuracy, latency, and cost across SQL retrieval vs. fallback crawling paths.