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This repository presents research on SQL query optimization, exploring how different indexing strategies and PostgreSQL configurations impact query performance. The project, which earned second place at TCCD Research Day, provides insights into improving database efficiency.
An ML-powered middleware that intercepts slow SQL queries, uses regression models to predict execution times, and leverages a fine-tuned LLM to automatically rewrite inefficient code. Features Redis caching, connection pooling, and database replication for peak backend performance.