About Amara AI Research

Dr. Amara Okafor is a computer scientist specializing in neural information retrieval, knowledge graph embeddings, and AI search engine ranking algorithms. Her research examines algorithmic citation mechanics, semantic entity modeling, and information gain scoring in modern LLM search engines.

Research Mission & Methodology

Our laboratory investigates the convergence of autonomous artificial intelligence, compiler engineering, and information retrieval architectures. By developing zero-telemetry local testing suites and deterministic static analysis tools, we empower software engineering teams to automate technical search hygiene without vendor lock-in.

Core Competencies

• Empirical token economics and LLM inference cost optimization in CI/CD.
• Abstract Syntax Tree (AST) code remediation for Next.js, Astro, and Remix.
• Information Gain mathematical modeling (USPTO 11,562,019 B2).
• Entity-Attribute-Value (EAV) graph construction and Schema.org compliance.