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RajiaRani/README.md

Hi, I'm Rajia Rani

For 4+ years, I taught Chemistry and mentored students in Math and Science. This experience helped me develop strong analytical thinking and the ability to break down complex problems step by step.

In 2023, I transitioned into Artificial Intelligence — and never looked back.

  • Research Assistant in Computer Science @ University of South Dakota, USA
  • Working with:
    • Large Language Models (LLMs) and AI Agents
    • PyTorch and GPU-based training

I enjoy turning complex ideas into practical systems and continuously improving how they perform.

🎓 Education

  • Master’s in Artificial Intelligence (in progress)

Learning deeply, building thoughtfully.

🔗 Connect with me

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  1. RAG-ChatBot--Based-Information-Retrieval-System- RAG-ChatBot--Based-Information-Retrieval-System- Public

    this is my First RAG

    Python

  2. Brain_Tumor_detection Brain_Tumor_detection Public

    Brain tumor detection using Convolutional Neural Networks (CNNs). A deep-learning model trained on MRI scans to classify tumor vs. non-tumor images with high accuracy.

    Jupyter Notebook

  3. Building_LLMs_from_Scrach Building_LLMs_from_Scrach Public

    A complete learning repository focused on understanding and implementing the core building blocks of Large Language Models from scratch, from tokenization to Transformer architectures

    Jupyter Notebook 3

  4. Pulseguard-Aiops Pulseguard-Aiops Public

    PulseGuard AIOps is a production-style portfolio project that demonstrates how to build an AI Incident Commander for production outages with modern agent engineering patterns.

    Python

  5. Scalable-LLM-Training-with-5D-Parallelism Scalable-LLM-Training-with-5D-Parallelism Public

    Engineered a distributed GPT-2 training framework across 8× H100/A100 GPUs implementing all five parallelism strategies (DP, TP, PP, CP, EP) from scratch using PyTorch Distributed and NCCL, achievi…