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borangundogan/README.md

AI Researcher & Engineer

I’m a community-driven AI researcher and MSc student in Artificial Intelligence at FAU Erlangen-Nürnberg.
I focus on developing end-to-end AI systems, from experimenting with new models to deploying practical solutions. My work combines research and implementation, where I explore emerging methods in machine learning and continuously test their potential in real-world applications. I’m especially interested in transforming complex ideas into scalable systems that can simplify workflows, improve efficiency, and open new possibilities for how we use AI in everyday life.

  • I’m based in Erlangen, Germany
  • You can contact me at [email protected]
  • Developing expertise in transforming AI research into scalable, real-world systems

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  1. autogen-react autogen-react Public

    autogen project

    JavaScript

  2. turist-guide-mobile-app turist-guide-mobile-app Public

    TypeScript

  3. AI-Agent-RAG AI-Agent-RAG Public

    Event-driven RAG playground that wires Streamlit, Inngest, LlamaIndex, and Qdrant together for PDF ingestion and question answering.

    Python

  4. miniGPT-HPC miniGPT-HPC Public

    A minimal GPT model built from scratch and trained on High-Performance Computing concepts such as OpenMP, CUDA, MPI, and NUMA.

    Python

  5. Regulation-Assistant-Agent-for-Medical-Device-Compliance Regulation-Assistant-Agent-for-Medical-Device-Compliance Public

    Python

  6. HPCRAG HPCRAG Public

    RAG-powered HPC code generator using fine-tuned Llama-3-8B (CUDA, MPI, OpenMP).

    Python