Virtual Agent Trainer/Data Labeler for Lab Results Interpretation System
TextText Generation
Trained a virtual agent in Dialogflow using a corpus of previously processed and labeled historical clinical lab results. Applied data cleaning, structuring, and anonymization processes to clinical data to improve the conversational model’s accuracy. Ensured compliance with best practices for handling sensitive medical information throughout the data labeling process.
• Corpus preparation and historical data review
• Dialogflow implementation for automated staff queries
• Optimization of model performance through iterative dataset improvement
• Data anonymization for ethical AI training
Trained a virtual agent in Dialogflow using a corpus of previously processed and labeled historical clinical lab results. Applied data cleaning, structuring, and anonymization processes to clinical data to improve the conversational model’s accuracy. Ensured compliance with best practices for handling sensitive medical information throughout the data labeling process. • Corpus preparation and historical data review • Dialogflow implementation for automated staff queries • Optimization of model performance through iterative dataset improvement • Data anonymization for ethical AI training
2025 - 2026