B.Tech Information Technology · Manipal Institute of Technology, Bengaluru
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Process and analyse large, noisy real-world datasets using Python (pandas, NumPy) to support downstream machine learning and behavioural research tasks. Design and evaluate LLM-based research pipelines, including systematic testing frameworks, prompt engineering, and structured output validation. Reduced reliance on manual survey-based data annotation by exploring AI-driven alternatives for subjective scoring tasks (e.g., confidence, sentiment, behavioural interpretation), improving scalability and consistency in research data collection.
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