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Eyna-A/README.md
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AI products that ship — and hold up once real users touch them.


⚡ About Me

  • 🚀 0 → 1 builder: research prototype to deployed product, API included.
  • 🧪 Diagnostics before hype — validated signals, honest metrics, no cherry-picked demos.
  • 🔬 Core stack: deep learning · autonomous agents · quantitative pipelines.
  • 🎧 Off the clock: same pattern-finding instinct, applied to music.

🛠️ Tech Stack

Also building with: HuggingFace · LangChain / LangGraph · Pandas / NumPy · LightGBM / XGBoost

🌟 Projects

Project Problem Key Tech Impact
Signal Desk – TSE Robo-Advisor Naive ML on emerging-market data gets fooled by capital increases, trading halts, and non-stationary prices. Python LightGBM FastAPI SciPy Deflated Sharpe Ratio evaluation catches selection bias — ships honest metrics, not cherry-picked curves.
Brain Tumor Classification Classify tumor type from MRI scans under strict validation. PyTorch Keras OpenCV ~88% test accuracy, Colab-ready pipeline.

🎬 Demos

Project Preview
Signal Desk Dashboard 🎥 [add GIF/link to docs/assets/dashboard-preview.gif]
Next demo 🎥 [link]

Eyna Shabani · B.Sc. Computer Science, IAU Tehran West

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  1. AI-Video-Understanding-Pipeline AI-Video-Understanding-Pipeline Public

    AI-powered pipeline that transforms videos into structured knowledge. It downloads a video, extracts audio, transcribes speech, translates content into Persian, organizes it into academic-style not…

    Python

  2. Brain-Tumor-Classifier Brain-Tumor-Classifier Public

    A Convolutional Neural Network (CNN) model for brain tumor detection using MRI images.

    Jupyter Notebook

  3. tse-signal-desk tse-signal-desk Public

    signal-desk — An ML quantitative pipeline evolving into a TSE robo-advisor, featuring LightGBM, FastAPI, and Deflated Sharpe Ratio (DSR) diagnostics.

    Python 1