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david-revell/README.md

Hi, I am David. I build practical AI agents and tool-integrated workflows using the OpenAI Agents SDK, MCP, and Phoenix tracing.

My work focuses on applied AI engineering: agentic reasoning, real tool calls, and clean, observable system behaviour.

You can explore my active projects in the pinned repositories below.

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  1. agent-evaluation-orchestrator agent-evaluation-orchestrator Public

    Agent-agnostic evaluation orchestrator to run scenarios, capture structured behaviour logs, and enable consistent post-hoc comparison across different AI agents.

    Python

  2. multi-llm-context-eval multi-llm-context-eval Public

    Synthetic evaluation corpus for comparing context-grounded generation across multiple LLM providers (OpenAI, Gemini, Claude, Llama).

    Python

  3. vision-creative-evaluation vision-creative-evaluation Public

    Multimodal evaluation framework for ad creatives with structured QA, prompt engineering, and metric-driven error analysis.

    Python

  4. google-calendar-mcp google-calendar-mcp Public

    AI agent using OpenAI Agents SDK with MCP tools to read, create, and update Google Calendar events.

    Python

  5. doc-ingest-graph-agent doc-ingest-graph-agent Public

    Agentic document ingestion and retrieval system using Neo4j knowledge graphs

    Python

  6. bank-of-england-ai-document-analysis bank-of-england-ai-document-analysis Public

    AI-driven analysis of company earnings documents for the Bank of England Employer Project, combining NLP, retrieval, and topic modelling.

    Python