Quantum
Semantic Drift

The Problem

Traditional search engines match keywords, not meaning. I wanted to build something that could understand semantic relationships the way physics understands forces.

The Approach

Invented a model simulating semantic gravity, narrative curvature, and drift across 10^9 search points. Built optimized retrieval pipelines using vector similarity and custom ranking.

The Outcome

Outperformed Google Search on targeted queries with higher semantic precision and lower latency. Still exploring applications.