Projects

Quanta

[ A LangChain RAG system for source-grounded dermatology literature review. ]

Timeline2024 – 2025
CompanyUM Cutaneous Lab
RoleResearch Engineer
StackPython · LangChain · GPT-4 · ChromaDB

Overview

[ Headline summary of the project. ]

[ Detailed overview — what was built, why it matters. ]

Technologies

language
Python
retrieval & ml
LangChain Sentence-BERT ChromaDB GPT-4
front-end
Streamlit

The Problem

[ Headline problem statement. ]

[ Detailed problem context. ]

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How might we
[ Framing question for this project. ]

Product Vision

[ The end state we're building toward. ]

[ Detail on user value and outcome. ]

Core architecture

[ Architecture title. ]

[ Technical description of the architecture. ]

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My Contribution

[ Headline of your contribution. ]

[ Detail on what you built and owned. ]

What I worked on

  • [ Workstream one ]
  • [ Workstream two ]
  • [ Workstream three ]
  • [ Workstream four ]

Key Achievements

[ Headline outcome — the one-line "this is what it delivered." ]

[ Slightly longer narrative on the most meaningful results. ]

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Lessons Learned

[ The single biggest takeaway from this project. ]

[ What worked, what didn't, what you'd do differently next time. ]

Where It's Going

[ The forward path — next steps. ]

[ Longer-term direction and plans. ]

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