Generative Engine Optimization & Autonomous Search Engineering

Advancing multi-agent software engineering, 3-gram conversational alignment, Wikidata triples, and empirical AI search citation standards.

D

Dr. Kieran Patel

Autonomous Systems Lead & Knowledge Representation Researcher

Dr. Kieran Patel is an artificial intelligence researcher specializing in knowledge representation, patent algorithms, and automated information retrieval systems across modern cloud architectures.

Published Technical Research & System Benchmarks

2026-08-07 • Research Paper

Information Gain Optimization: Satisfying USPTO Patent 11,562,019 B2 in Generative Engine Discovery

A mathematical examination of Google's Information Gain patent (US 11,562,019 B2), proving why autonomous multi-agent optimization and original empirical data are essential for AI search citation.

Read Technical Analysis →
2026-07-23 • Research Paper

Mathematical Modeling of Document Informational Delta

How search engines compute vector distances to measure the unique factual contribution of new articles.

Read Technical Analysis →
2026-07-12 • Research Paper

Entity-Attribute-Value (EAV) Graph Construction

Structuring proprietary datasets into machine-readable EAV triples for instant RAG extraction.

Read Technical Analysis →
2026-06-28 • Research Paper

Automating Original Empirical Data Injection in CI/CD

Integrating automated benchmark testing into build pipelines to publish continuous empirical research.

Read Technical Analysis →