Hi, I'm Vincenzo Lindley


Drop Site News RAG Application

Engineered an AI-driven semantic news search pipeline that transforms thousands of articles into an intelligent, context-aware research assistant using vector embeddings and retrieval-augmented generation.

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Go Sports Go Team !

Built a scalable pipeline searching 600,000+ NFL news articles for sentiment analysis using Python, PostgreSQL, and MongoDB.

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Blu Bandit Tattoo Studio

Built a fully normalized MySQL database that powers real-world appointment scheduling, artist management, and operational reporting — demonstrating scalable relational system design in action.

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CUQuest

Designed a normalized PostgreSQL schema and connected it to a FastAPI backend for CUQuest, a student-focused request management platform.

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Omnilab Assistant

Collaborated in the ideation and development of a laboratory ubiquitous computing system.

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You can contact me at phone: 920-737-2552
email: vincenzo.lindley@outlook.com