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AIOmarRehan/README.md
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About

Name:       Omar Rehan
Location:   Dubai, United Arab Emirates
Education:  B.Sc. Computer Science
Role:       Aspiring AI Engineer
Website:    omar-rehan.vercel.app
Status:     Open to Work

Specializations:
  - Deep Learning and Computer Vision (TensorFlow, PyTorch)
  - Vision-Language Model Fine-Tuning (Qwen2.5-VL, Llama 3.2 Vision)
  - Medical Image Analysis (Grad-CAM, Chest X-Rays, Brain MRI)
  - Object Detection (YOLOv8-OBB, SAR Imagery)
  - Full-Stack Web Development (Next.js, React, TypeScript, Firebase)
  - Model Deployment (Gradio, FastAPI, Docker, HuggingFace Spaces)

Currently:  "Seeking opportunities while building AI and Full Stack projects"

Technology Stack

AI / ML

Languages

Web and Cloud

DevOps and Tools

GitHub Analytics


Repos Per Language Most Commit Language

Stats Productive Time


Featured Projects

Computer Vision and Deep Learning

YOLOv8 OBB SAR Vehicle Detection Brain Tumor Classification COVID-19 X-Ray Classification Cats vs Dogs InceptionV3 CNN Autoencoder Denoising CNN vs Transformer vs Xception

Vision-Language Models

Fine-Tuning Qwen2.5-VL Llama 3.2 Vision Fine-Tuning

Full-Stack and Web Applications

Portfolio RehanPulse TerraExplorer Finance Tracker

Contact

GitHub   LinkedIn   Medium   Kaggle   HuggingFace



Portfolio   Email   WhatsApp



Dev Quote

Popular repositories Loading

  1. CNN_Autoencoder_For_Image_Denoising CNN_Autoencoder_For_Image_Denoising Public

    A U-Net based CNN autoencoder designed to denoise noisy images before classification, improving input quality and boosting overall model accuracy.

    Jupyter Notebook

  2. Animal-Image-Classification-Using-InceptionV3 Animal-Image-Classification-Using-InceptionV3 Public

    This project builds an animal image classification system using TensorFlow and InceptionV3. It includes a full data-cleaning pipeline that detects corrupted images, duplicates, brightness issues, a…

    Jupyter Notebook

  3. Audio-Classification-Raw-Audio-to-Mel-Spectrogram-CNNs Audio-Classification-Raw-Audio-to-Mel-Spectrogram-CNNs Public

    Complete end-to-end audio classification pipeline using deep learning. From raw recordings to Mel spectrogram CNNs, includes preprocessing, augmentation, dataset validation, model training, and eva…

    Jupyter Notebook

  4. Brain-Tumor-Classification-with-Grad-CAM Brain-Tumor-Classification-with-Grad-CAM Public

    A deep learning pipeline for classifying brain tumor MRI images using InceptionV3 and Grad-CAM. Includes full preprocessing, augmentation, tf.data pipelines, transfer learning, evaluation metrics, …

    Jupyter Notebook

  5. High-Accuracy-Cats-vs-Dogs-InceptionV3 High-Accuracy-Cats-vs-Dogs-InceptionV3 Public

    In this notebook, I build a high-accuracy Cat vs. Dog classifier using InceptionV3 and transfer learning. After thorough EDA and robust tf.data preprocessing, the model achieves ~99% test accuracy …

    Jupyter Notebook

  6. My_Portfolio My_Portfolio Public

    Full-stack portfolio platform built with Next.js (App Router), React, TypeScript, Tailwind CSS, and Supabase. Includes a secure admin dashboard with authentication and dynamic CRUD operations for m…

    TypeScript