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John Greenough
Junior Software Engineer specializing in AI, security, and cloud systems
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About
Built and deployed an LLM + RAG + memory system on a Furhat social robot, adding continuous face/voice recognition embeddings over WebSockets to enable persistent, natural conversations across sessions. Experienced working around real-world hardware/latency constraints and uses Datadog plus structured debugging/rollback practices for stabilizing customer-facing LLM workflows.
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Key Strengths
- Took an LLM+RAG conversational system from prototype to production on a physical robot
- Human-centered approach to conversational AI (natural timing, continuity across sessions)
- Pragmatic handling of hardware constraints (camera quality, compute limits) with ML-based feature fusion
- Latency mitigation strategies for real-time interaction (fallback/placeholder responses while generating)
- Structured real-time troubleshooting approach (instrumentation, isolation, rollback/scaled-down deploy)
- Strong audience-aware technical communication (reworking demos for professor vs industry partner)
- Focus on reliability: edge-case testing and proactive stakeholder communication
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