Optimized Climate Data Integration with Real Time LLM Querying
Overview
Reprocessed planet-scale climate data (ERA5, EDGAR, NOAA, Carnegie) with rigorous wrangling, normalization, and feature engineering—scaling across SQLite + HPC. Built custom MCP servers wired to Anthropic LLMs for context-aware REST querying via prompt-engineered workflows. Shipped a Dockerized MLOps pipeline enabling modular data ops and secure, low-latency SQL for real-time climate intelligence.