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Michael Williams
Senior Full-Stack AI Engineer specializing in Azure OpenAI and RAG/GraphRAG systems
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About
Built GoEngineer’s first production AI systems, including an end-to-end RAG pipeline for SolidWorks technical support using Azure Blob Storage, Azure AI Search, and Azure OpenAI, plus an AI summarization feature adopted by sales/customer success. Strong in productionizing LLM workflows with evaluation harnesses (golden sets, LLM-as-judge, red teaming, shadow deploys) and Azure infrastructure integrations (Redis, Service Bus, App Insights), and has also implemented a custom MCP server for agentic monitoring.
Experience
Education
Key Strengths
- Built and deployed an end-to-end RAG system to production for technical support (company’s first AI support system)
- Designed pragmatic, cost-aware retrieval approach (chose full-text search over expensive vector search for PoC)
- Strong data ingestion/cleaning problem-solving (handled inconsistent doc structures and duplicate-link deduping)
- Infrastructure integration for AI systems (Azure Redis + Service Bus event-driven architecture; connected critical systems to Azure OpenAI)
- Production monitoring/observability mindset (App Insights integration; tracks latency and token usage)
- Structured AI evaluation methodology (golden sets, LLM-as-judge, red teaming, shadow deployments)
- Effective non-technical stakeholder collaboration leading to adoption (AI email-thread summarization for sales/CS; expanded to exec attention)
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