

AI Quality Analyst & Prompt Engineering specialist with 3+ years in LLM evaluation, model training, and generative AI QA focused on Clinical/Pharma domains. Experienced in medical misinformation detection, clinical data annotation, SFT dataset preparation, prompt engineering, and product-facing validation. Proven impact: improved model reliability by 30–40%, reduced harmful medical content by 25–35%, and cut MTTR by ~30%. Seeking to apply clinical domain knowledge (D.Pharm) and model-trainer expertise to Clinical AI Product Associate roles.
Clinical validation Healthcare AI Medical misinformation detection
LLM evaluation Hallucination detection Red-teaming
Model training SFT dataset curation Prompt engineering
Annotation guidelines Dataset quality assurance Data labeling operations
QA automation Test case design Regression
A/B testing Root cause analysis KPI dashboards
Product requirements gathering Clinical product workflows
Regulatory awareness (GDPR/HIPAA) Compliance testing
Risk management Clinical escalation handling
Python SQL Power BI JIRA TestRail
Cross-functional alignment (Legal, Product, SMEs)
Multilingual (Bengali, Nepali, English, Hindi)