About Henderson AI Research
Liam Henderson is a frontend performance architect and web standards advocate. He specializes in Core Web Vitals optimization, server-side rendering architectures, and open-source developer toolchains for modern web frameworks.
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.