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Hamsalakshmi Ramachandran
Mid-level Data Analytics professional specializing in BI, data engineering, and applied AI
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About
Built GenMedX, a multi-module clinical AI system for emergency department decision support spanning triage prediction, diagnosis, medication Q&A, and visit summarization. Stands out for combining medical LLM fine-tuning, RAG, and rigorous evaluation/monitoring to drive a major triage recall improvement from 38.5% to 76.6%, with a strong focus on safety, edge-case detection, and production reliability.
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Key Strengths
- End-to-end ownership of production GenAI/ML systems
- Healthcare AI and clinical decision-support expertise
- Improved triage recall from 38.5% to 76.6% via QLoRA fine-tuning
- Strong RAG evaluation and monitoring using RAGAS and LLM-as-judge pipelines
- Identifies edge-case failures beyond aggregate metrics
- Translates research ideas into scalable deployed systems
- Builds safety and reliability layers with schema enforcement and validation
- Prompt and retrieval optimization for structured LLM outputs
- Modular API design that enables parallel team development
- Debugging and reliability improvements through input validation
- Standardized SQL reporting to reduce inconsistency across teams
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