James Bennett

James Bennett

Lead Engineer at WebSearchAPI.ai

Building scalable, high-performance web intelligence systems for AI and large language models. Passionate about bridging the gap between real-time web data and AI accuracy.

Specializing in AI infrastructure, search technologies, and large-scale data integration. Expertise spans retrieval-augmented generation (RAG), web crawling and indexing, and API architecture for real-time AI applications. Focused on creating developer-friendly tools that connect LLMs and AI agents to the live web — ensuring accuracy, scalability, and performance in data-driven products.

RAG Systems Distributed Systems Web Crawling API Architecture AI Infrastructure Search Technologies Multi-Cloud Kubernetes TensorFlow