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Angela Churchwell
Principal Software Engineer specializing in enterprise AI platforms
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About
Built a production-grade LLM document processing and workflow orchestration platform at CBRE for internal operations teams, handling highly variable long-form documents with a reusable architecture involving 50+ coordinated LLM calls per request. Stands out for treating agentic systems like distributed backend infrastructure, with strong emphasis on evaluation, observability, reliability, and vendor-agnostic orchestration across Bedrock, Vertex AI, and OpenAI.
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Key Strengths
- Shipped production LLM document-processing platform end-to-end at CBRE
- Designed complex multi-step orchestration with 50+ LLM calls per document
- Strong reliability focus through eval frameworks, retries, recovery paths, and confidence checks
- Deep observability mindset across latency, token usage, cost, and workflow success
- Pragmatic agent design using constrained orchestration over autonomous agents
- Strong backend systems thinking for agent workflows, treating agents like distributed systems
- Experience building reusable, vendor-agnostic AI workflows across Bedrock, Vertex AI, and OpenAI
- Data-driven optimization of retrieval quality, including chunking improvements that increased accuracy
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