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setups). Advanced proficiency in Python, including scripting for LLM pipelines, handling dependencies with tools like Poetry or Pipenv, and integrating with libraries such as Sentence Transformers for embeddings, FAISS for vector search, or Streamlit/Gradio for prototyping interfaces. Experience with vector databases and semantic search (e.g., Pinecone, Weaviate, or FAISS) to support efficient retrieval in LLM applications. Demonstrated More ❯