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Jonathan Rajan

Principal AI & ML Engineer

ex-Google London

Agent orchestration, tool use and domain assistants.

Jonathan Rajan builds AI systems that connect organisational knowledge with practical workflows. At Gargantua, he has developed an ML-enabled content-ingestion pipeline and an LLM-powered assistant for domain-specific knowledge work.

His experience spans preparing information for downstream use and building applications that make that information accessible. This connects directly with Gargantua’s agent-systems practice, where useful applications depend on reliable data pipelines, access to relevant knowledge, and integration with existing software.

Previously, Jonathan worked as a software engineer at Google in London, contributing to large-scale systems. He brings that engineering background to the development of applied AI products, with a focus on the infrastructure and application logic needed to turn a working model into a useful system.

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