# Phil Leach

**URL:** https://www.gosmarter.ai/team/phil-leach/

**Date:** 0001-01-01

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Agentic AI Engineer building autonomous document processing pipelines and intelligent automation for metals manufacturers. Phil designs and implements AI agent systems that analyse, classify, and extract data from industrial documents — mill test certificates, material data sheets, and compliance records — reducing manual processing and improving data quality across the supply chain.

His current focus is the Agentic Document Analysis Pipeline at GoSmarter: a system that routes unknown or low-confidence mill certificates to an AI agent for structured analysis, sample accumulation, and automated training data generation. The pipeline uses GPT-4.1 with structured output validation to identify suppliers, extract field mappings, and build the labelled datasets needed to train dedicated extraction models — closing the loop between production classification and continuous model improvement.

Phil works across the full stack of the AI services platform: Python Container App Jobs on Azure, Service Bus message routing, Azure Document Intelligence custom classifiers, and the CI/CD pipelines that test, build, and deploy each service. He brings a methodical, research-driven approach to engineering — investigating established patterns before implementing, writing comprehensive tests, and documenting decisions so the team can continue without a phone call.

Before joining GoSmarter, Phil built experience in AI systems engineering and infrastructure automation, with a focus on making complex AI capabilities reliable and observable in production environments.