Medical Domain Expert for AI | RLHF, Fact-Checking & Clinical Data Validation
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I will review and audit the outputs of your Healthcare AI model, RAG system, or medical app to ensure clinical safety and accuracy. As a Medical Domain Expert, I cross-reference your AI's responses against Gold Standard medical guidelines (e.g., UpToDate, Official Clinical Protocols). I will provide a detailed report identifying logical flaws, inaccuracies (model fabrications), and prompt engineering suggestions to improve your model's clinical reasoning. Perfect for HealthTech startups needing a "Human-in-the-Loop".
Need high-level review or structuring for your medical documentation, research paper, or Health/GovTech project? As a Medical Researcher published in Elsevier (Systematic Review & Meta-Analysis) and experienced with public health data (DATASUS), I will review, edit, or structure your documents. This includes professional recommendation letters, clinical workflows, and evidence-based reports. I ensure your document achieves the required academic tone, clarity, and logical structure.
Medical Domain Expert specializing in AI Validation and Clinical Data Analysis. I am a Medical Student with a strong background in Health Tech and Data Science. I understand the mechanics of LLMs and specialize in bridging the gap between clinical complexity and computational logic. What I bring to your project: - Clinical Fact-Checking (RLHF): I developed specific prompt engineering strategies to detect model errors and fabrications in medical outputs, validating them against Gold Standard guidelines (UpToDate, Clinical Protocols). - Data Annotation & Labeling: Experience with structured data (Big Data/Public Health) and unstructured data (Medical Literature/EHRs). - Research Rigor: Published author (Systematic Review & Meta-Analysis in Elsevier) capable of synthesizing complex evidence for RAG systems. - Algorithmic Reasoning: Certified in ACLS/PALS (American Heart Association), expert in translating clinical decision trees into logical flows for model training. Core Competencies: - Medical Terminology & Ontology (ICD-10, SNOMED) - Bio-statistics (Jamovi, SPSS) - Epidemiological Analysis - Portuguese (Native) & English (Advanced/Academic) Ready to help you build safer, more accurate Medical AI agents.