Data Annotator
Data labelling
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With over 25 years of experience and a strong focus on AI training and data annotation in the last 9 years, I specialize in evaluating and refining AI models through high-quality data labeling and intent annotation. My work involves analyzing conversation transcripts, identifying key signals and failure points, and creating structured scripts and grading rubrics for AI-powered role-play tools using platforms like ChatGPT, Snorkel AI, and Copilot. I have contributed to the development and validation of datasets that challenge LLMs, ensuring accuracy, context awareness, and minimizing bias and hallucinations. I am adept at prompt engineering, context interpretation, and collaborating with cross-functional teams to optimize training data for NLP and conversational AI applications. My experience spans multiple industries, including working with Fortune 500 clients, and I am proficient with tools such as Gemini, Sigma AI, Google Workspace, and various CRM platforms.
Data labelling
Mini Master of Business Administration, Strategic Healthcare Management
Bachelor of Engineering, Electronics Engineering
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