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Making data discoverable with AI
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Making data discoverable with AI

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sajid-nazir/README.md

Sajid Nazir

Data Science MSc · Thesis Researcher at AFRY · Malmö, Sweden

I'm completing my Master's in Data Science, writing my thesis at AFRY on using LLMs and RAG to extract knowledge from exabyte-scale geospatial and non-geospatial data. Background in full-stack and mobile development, now specializing in applied ML and NLP.


  Currently

  Research — Evaluating LLM + RAG pipelines for information extraction from large-scale datasets at AFRY
  Stack — Python · TensorFlow · HuggingFace Transformers · LangGraph · Qdrant · Docker
  Exploring — Information retrieval · Knowledge graphs · Reinforcement learning


  Tech Stack

  ML / Data — Python · PyTorch · HuggingFace · LangGraph
  Infra — Docker · Kubernetes · AWS · PostGIS
  Web — TypeScript · React · Next.js
  Mobile — Kotlin · React Native · Android · iOS


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  1. Papyrus Papyrus Public

    In-browser academic paper search engine with semantic search, knowledge graph visualization, and multi-source support (arXiv, OpenAlex, Europe PMC).

    TypeScript