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brianmcd08/README.md

Brian McDowell

Engineering leader with hands-on experience in RAG pipelines, agentic systems, and LLM integration.

Currently: Extending a production agentic RAG system. Deployed it to AWS as a container-image Lambda behind API Gateway with Bedrock inference and Terraform IaC, running the same codebase as the Streamlit deployment.

Recent work:

  • Agentic RAG chatbot with hybrid retrieval, multi-tool ReAct agent, Postgres-backed persistent memory, and LLM-as-judge evaluation. Built on Pinecone and Claude: live app.
  • Bank transaction simulator including event-driven architecture with SNS fan-out to SQS queues.

Stack: Python, Java, LangChain, LangGraph, FastAPI, Pinecone, Postgres, Docker, Terraform, AWS (Lambda, API Gateway, Bedrock), Claude API

📍 Durham, NC

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  1. civ-rag-pipeline civ-rag-pipeline Public

    Agentic RAG chatbot with hybrid retrieval, multi-tool ReAct agent, cross-session memory, and LLM-as-judge evaluation. Deployed on AWS Lambda and Streamlit Cloud.

    Python

  2. bank-simulator bank-simulator Public

    Python