Multi-Audience NLP Synthesis: build a reasoning engine from audio transcripts to three outputs.
Decoupled UI Integration: surface artifacts in the Overlay UI as Click-to-Copy/Route modules.
Automated Clinical Evaluation: implement LLM evaluation to verify output accuracy and context.
Deploy & Measure ROI: pilot alpha prototype and quantify time saved and workload reductions.

🎯 Requirements

Education: Master’s or PhD in CS, HCI, AI, Health Informatics.
Programming: Python plus React/TypeScript/JavaScript for UI prototyping.
AI/LLM Experience: Hands-on with OpenAI API, Claude, LangChain and prompt engineering.
Systems Design: Build APIs to connect audio/text to structured outputs.

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