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Olivia Liau
Junior Data Scientist specializing in ML research, NLP, and healthcare analytics
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About
Completed an Amazon externship building a GPT-4 + RAG pipeline to summarize themes from hundreds of employee reviews for workforce analytics aimed at improving warehouse retention. Emphasizes production-readiness through labeled-data evaluation, source attribution for explainability, human-in-the-loop review, and rigorous data cleaning/observability to debug real-world LLM workflow issues.
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Key Strengths
- Built GPT-4 + RAG NLP pipeline from prototype toward production for workforce analytics
- Improved reliability via evaluation on labeled data and added source attribution for explainability
- Designed human-in-the-loop review to balance speed and safety for sensitive/low-quality review data
- Systematic LLM workflow troubleshooting using controlled inputs, logging, and metrics
- Strong data-quality focus (manual QA, normalization, schema cleanup) to resolve multilingual parsing issues
- Able to tailor technical presentations to developer audiences with emphasis on methodology and metrics
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1 publication
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