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jranaraki/README.md

Hi there 👋

I am an AI/ML researcher/engineer with experience building scalable ML systems, LLM inference frameworks, and time-series forecasting pipelines.

  • 🌱 I’m currently learning
    • Deeper scalable ML/AI methods for real-world deployment
    • Applications of AI in infrastructure automation and cloud optimization
  • 💬 Ask me about:
    • Machine learning for cloud infrastructure & autoscaling.
    • Brain-computer interface research and ML applications for assistive technologies.
  • 📫 How to reach me:
  • ⚡ Fun fact: I developed a noise-robust feature selection algorithm inspired by the Monar Jonban (Shaking Minarets) in Isfahan, blending cultural history with mathematical insights!

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  1. e2e-rag e2e-rag Public

    This is an end-to-end CLI RAG system implemented to showcase the critical considerations for a successful deployment

    Python

  2. evogen evogen Public

    This is a self-evolving benchmark generator

    Python

  3. tubescribe tubescribe Public

    An agentic web application for automatically transcribing, summarizing, and categorizing YouTube videos using AI. Built with Python, Flask, LangChain, and React.

    Python

  4. tongueDetection tongueDetection Public

    Code for detecting tongue in the pediatric population

    6