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Exploring LLMs
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Exploring LLMs
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habib-analyst/README.md

Habib Ur Rehman

ML/AI Engineer and healthcare-AI researcher. I build machine learning that earns trust — medical imaging, deepfake detection, and multimodal intelligence.

What I build (all open source, all measured):

  • rag-shield — offline prompt-injection / poisoned-document detector for RAG corpora (stdlib-only; 16/16 synthetic attacks caught, 0 false flags on benign docs)
  • desync-detect — CPU-only audio-video desynchronization detector for deepfake triage
  • veriproof — tamper-evident forensic verification: forged-screenshot benchmark, detector, and signed evidence reports
  • GCViT–PIO Medical Imaging — hybrid vision transformer + Perceiver IO multi-disease classification (brain/lung/skin; paper: Journal of Supercomputing, 2025)
  • ViT + Perceiver IO Framework — multi-disease medical image classifiers (paper: Computational Biology and Chemistry 119, 2025)
  • MedMNIST v2 Reproducibility Benchmark — reproducible deep-learning benchmarking across MedMNIST v2

5 publications (2025–2026), including two medical-imaging transformer papers in Elsevier and Springer journals.

Built by Habib Ur Rehman · ML/AI Engineer & healthcare-AI researcher · LinkedIn · habib.top

Popular repositories Loading

  1. habib-analyst habib-analyst Public

  2. ViT-PiO-Framework-For-Medical-Imaging ViT-PiO-Framework-For-Medical-Imaging Public

    Medical AI Models - Brain, Lung, Skin Disease Detection

    Python

  3. debugging-assignment-by-Habib-Ur-Rehman debugging-assignment-by-Habib-Ur-Rehman Public

    Solutions to the debugging assignment for admission.

    Jupyter Notebook

  4. GCViT-PIO-Medical-Imaging GCViT-PIO-Medical-Imaging Public

    Hybrid Global Context Vision Transformer (GCViT) + Perceiver IO framework for medical image classification — Accepted in The Journal of Supercomputing.

    Jupyter Notebook

  5. Habib_Ur_Rehman_Portfolio Habib_Ur_Rehman_Portfolio Public

    Personal portfolio for habib.top — six interactive designs, Alibaba OSS deploy

  6. MedMNIST_v2_Reproducibility_Benchmark MedMNIST_v2_Reproducibility_Benchmark Public

    Reproducible deep-learning benchmarking across MedMNIST v2

    Python