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  • Sweden
  • 17:08 (UTC +02:00)

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Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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ImAlno/README.md 
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CS @ KTH Royal Institute of Technology

Machine Learning · Artificial Intelligence · Software Engineering

Curious about AI agents, and the LLMs that power them.
Recently completed my Bachelor's thesis on Agentic Retrieval-Augmented Generation.

"There are no accidents — only feedback for the next iteration."

Pinned Loading

  1. Compose Compose Public

    A radically simple functional framework for building typed, composable, and observable multi-agent AI workflows in Python.

    Python

  2. Claude-Auto-Resume Claude-Auto-Resume Public

    Auto-resume Claude Code after rate limits reset. Detects usage limits, waits intelligently, and continues your workflow automatically.

    Python

  3. OpenAI-Token-Monitor OpenAI-Token-Monitor Public

    OpenAI API token usage monitor - For free daily tokens

    Python

  4. Understanding-LLMs Understanding-LLMs Public

    Learning repository for building and understanding Large Language Models step by step.

    Python

  5. Simple-RAG-Application Simple-RAG-Application Public

    Simple-RAG is a simple RAG implementation made as a project for the KTH course ID1214

    JavaScript