AI Data Associate — LLM Model Trainer — Amazon (Alexa AI)
Labeled, validated, and processed large datasets of Amazon echo responses to improve its accuracy and understanding of the query
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I am an AI-focused professional with hands-on experience in data annotation, labeling, and validation, particularly in natural language processing and e-commerce domains. My background includes training Amazon’s Alexa NLU model, where I worked extensively on annotating large-scale datasets, performing intent analysis, and refining prompt outputs to enhance model accuracy. I am skilled in leveraging LLM tools like ChatGPT and Claude, designing effective prompts, and collaborating in human-AI workflows to ensure high-quality, reliable AI outputs. My technical proficiency with SQL and foundational Python, combined with strong attention to detail and a passion for fact-checking and quality assurance, enables me to adapt quickly to diverse analytical tasks and contribute to robust AI training data pipelines.
Labeled, validated, and processed large datasets of Amazon echo responses to improve its accuracy and understanding of the query
Pre-Master of Science, Cognitive Science and Artificial Intelligence
Bachelor of Engineering, Electronics and Instrumentation Engineering
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