Research conducted at XIM University. I identified bottlenecks in traditional sparse matrix storage formats (CSR, CDS) when dealing with diagonally dominant matrices. I invented a new format, 'Contiguous Clustering' (CC), and wrote a custom C++ engine to benchmark it, proving massive gains in SpMV (Sparse Matrix-Vector Multiplication).
// System Flow
1. User Input → Validation Layer (Pydantic)
2. Core Processing → AI Inference (C++)
3. Data Persistence → Database / File System
4. Response → Client UI