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Aaron Mcanerney
Mid-level Backend Software Engineer specializing in data platforms and reporting
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About
Built a production Medicare Q&A chatbot using OCR (pytesseract), LangChain chunking, ChromaDB embeddings/retrieval, and an Ollama LLM. Thinks in terms of practical tradeoffs (cost, model selection, static vs frequently-updated corpora) and emphasizes deterministic testing plus observability for reliable LLM workflows; also has experience automating non-technical teams' pain points (e.g., recruiting event integration).
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Key Strengths
- Built and deployed an LLM-powered Medicare Q&A chatbot using OCR + vector DB retrieval
- Pragmatic system design tradeoff thinking (cost, model choice, static vs dynamic data, throughput)
- Applies traditional software engineering principles to LLM workflow testing (deterministic tests)
- Emphasis on observability to support debugging and reliability of LLM logic
- Effective collaboration with non-technical stakeholders via pain-point discovery and iterative feedback
- Experience automating manual workflows to reduce operational burden (recruiting event integration)
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