AI-Driven Data Labeling and System Optimization Specialist
Led an extensive data labeling project to enhance the accuracy and functionality of a healthcare-focused AI system, contributing to improved performance in diagnosing and responding to user interactions. The project involved entity recognition, emotion detection, and question answering to train the AI in recognizing diverse user needs. Through systematic labeling and quality checks, I ensured high precision and consistency in labeled data, significantly enhancing the system’s response accuracy. Rigorous testing across various environments and iterative improvements were applied to meet strict healthcare standards.