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def merck(role="Undergraduate Data Science Researcher"):
# built a semantic search engine over scraped, preprocessed PubMed chromatography abstracts (stopword removal, lemmatization)
# combined SciBERT embedding cosine similarity with BM-25 into a hybrid relevance score, surfacing papers that shared no keywords with the query
# designed the Neo4j knowledge graph behind it (7,000+ nodes, 11,300+ relationships), using GPT-3.5 to extract processes and materials from each abstract as graph entities
# shipped it as a Streamlit interface returning ranked results with a percentage match per paper, validated on a 1,000-abstract corpus split evenly between related and unrelated documents
# repo: github.com/tpaidich/ChromaSift
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