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Nauman123-coder/README.md

Hi πŸ‘‹, I'm Nauman Ali Shah

AI & ML Engineer | Medical AI Specialist

nauman123-coder


πŸš€ About Me:

  • 🩺 Medical Background: Achieved 96.6% in 9th and 95.3% in 10th grade (Pre-Medical) before pivoting to AI.
  • πŸ”¬ Research Focus: Currently immersed in Applications of AI in Medicine and Healthcare innovation.
  • πŸŽ“ Education: Proud student at GCU Lahore.
  • 🀝 Collaboration: Looking to work on Agentic AI systems and Medical Imaging projects.
  • πŸ“« Contact: naumanalishah393@gmail.com

Portfolio

πŸ’» Tech Stack:

🌐 Web Development

πŸ€– Machine Learning & Data Science

🧠 Deep Learning & Computer Vision

πŸ’¬ NLP, GenAI & Agentic AI



πŸ… Certifications


πŸŽ“ Mathematics for ML – Imperial College London

πŸ€– Machine Learning Specialization – DeepLearning.AI

🧠 Deep Learning Specialization – DeepLearning.AI

πŸ’¬ NLP Specialization – DeepLearning.AI

πŸ₯ AI for Medicine – DeepLearning.AI

🩺 AI in Healthcare – Stanford Online

βš™οΈ IBM Generative AI Engineering

πŸ“Š Google Data Analytics

πŸ“ˆ Google Advanced Data Analytics

πŸ“‹ Google Project Management

πŸ‘₯ Google People Management

🌐 Google Generative AI Leader

πŸ” Google Cybersecurity

🎨 Google UX Design


πŸ“Š GitHub Stats:

GitHub Streak

GitHub Stats Top Languages

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  1. BioSeg-UNet BioSeg-UNet Public

    A PyTorch implementation of U-Net for biomedical image segmentation. This project builds a fully convolutional neural network designed to segment neurons from electron microscopy images, following …

    Jupyter Notebook 1

  2. brain-tumor-segmentation-3d-unet brain-tumor-segmentation-3d-unet Public

    Deep learning model for automatic brain tumor segmentation in MRI scans using 3D U-Net architecture. Implements multi-class segmentation to identify edema, non-enhancing tumors, and enhancing tumor…

    Jupyter Notebook 1

  3. Chest-X-Ray-Medical-Diagnosis Chest-X-Ray-Medical-Diagnosis Public

    Deep learning-based multi-label chest X-ray diagnosis using transfer learning with DenseNet121, class imbalance handling, and GradCAM for model interpretability.

    Jupyter Notebook 1

  4. Medical-NER Medical-NER Public

    A Medical Named Entity Recognition (NER) system using custom spaCy models and pre-trained biomedical transformers to extract drugs, diseases, and treatments from clinical text.

    Jupyter Notebook 1

  5. skin-cancer-detection skin-cancer-detection Public

    EfficientNet-B0 model for classifying 7 types of skin lesions (HAM10000) with real-time Grad-CAM heatmaps for interpretability.

    Jupyter Notebook 1

  6. guardian-agent-v2 guardian-agent-v2 Public

    πŸ›‘οΈ Autonomous threat hunter that analyzes security logs, checks IPs against AbuseIPDB, scans file hashes across 70+ AV engines via VirusTotal, and executes mitigation actions β€” all in under 90 seco…

    Python