Skip to content
View AIOmarRehan's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report AIOmarRehan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AIOmarRehan/README.md
Typing SVG Hero

Location Dubai UAE   Status Available   Followers   Stars   Profile Views


omar@workstation:~ (zsh)
arch: x86_64 | session: active
omar@workstation:~ (zsh)
$ neofetch --profile omar-rehan

System Summary
--------------------------------------------------------------------------------------------------
Developer    : Omar Rehan
Focus        : AI Engineering • Computer Vision • Full-Stack Architecture
Location     : Dubai, United Arab Emirates (Open to Global Relocation & Remote)
Education    : B.Sc. in Computer Science
Website      : https://omar-rehan.vercel.app
Flagship     : medtrace (Longitudinal 3D Brain-MRI SegResNet & Lesion Matching)

Specialties
--------------------------------------------------------------------------------------------------
  - Deep Learning & 3D Medical Vision (PyTorch, TensorFlow, MONAI, Grad-CAM)
  - Vision-Language Model Fine-Tuning (Qwen2.5-VL, Llama 3.2 Vision, LoRA, Unsloth)
  - Full-Stack Web Development (Next.js, React 19, TypeScript, Tailwind, FastAPI)
  - Cloud, Database & Auth (Firebase, Supabase, PostgreSQL, Docker, Vercel)
  - Business Intelligence & Analytics (Power BI, DAX, Streamlit, Plotly, Pandas)

Philosophy
--------------------------------------------------------------------------------------------------
"Engineering intelligent, explainable, and scalable systems that solve high-stakes challenges."

Featured Engineering Projects

Production systems, multimodal research architectures, and scalable full-stack platforms.

Medical AI & 3D Vision · Research & Production

Longitudinal brain-MRI analysis system featuring 3D SegResNet segmentation, affine/deformable registration, spatial lesion matching across multi-visit scans, uncertainty quantification, and Grad-CAM explainability.

  • Architecture: 3D SegResNet · Deformable Registration · Lesion Tracking
  • Capabilities: Automated volumetric progression tracking & clinical timelines
  • Stack: PyTorch MONAI FastAPI Docker Gradio

Full-Stack Platform · Real-Time Telemetry

Unified developer operations dashboard synchronizing GitHub, Vercel, and Firebase metrics in real time. Features automated uptime health alerts, audit logging, and an integrated LLM assistant for instant log diagnosis.

  • Architecture: Real-time multi-cloud webhooks & observability pipeline
  • Capabilities: Sub-second deployment status, anomaly alerts, AI assistance
  • Stack: Next.js TypeScript Firebase TailwindCSS Supabase

Multimodal AI · LoRA 4-bit Quantization

Domain-adapted Vision-Language Model (VLM) fine-tuned with parameter-efficient LoRA on astronomical spectra and deep-sky imaging. Achieves state-of-the-art visual question answering on celestial structures.

  • Architecture: Qwen2.5-VL Backbone · 4-Bit NF4 Quantization · PEFT
  • Capabilities: Expert-level astronomical feature extraction & multimodal QA
  • Stack: HuggingFace PyTorch Transformers PEFT Gradio

Business Intelligence · Predictive Forecasting

End-to-end commercial analytics platform integrating a relational SQL warehouse, RFM customer segmentation, churn probability modeling, and predictive revenue forecasting with confidence intervals.

  • Architecture: PostgreSQL Warehouse · RFM Segmentation · Time-Series ML
  • Capabilities: Interactive scenario modeling & executive KPI reporting
  • Stack: Python PostgreSQL Power BI Streamlit Plotly


Project Directory

Repository index categorized by domain and technical specialization. Click any section to expand.

AI Systems, Multimodal Foundation Models & Medical Imaging
Repository Focus & Capabilities Tech Stack
medtrace Longitudinal 3D brain-MRI segmentation, registration, and lesion matching. PyTorch MONAI FastAPI
Fine-tuning Qwen2.5-VL 4-bit quantized LoRA fine-tuning for domain-adapted astronomical VLM. HuggingFace Transformers Gradio
Llama 3.2 11B Vision Memory-efficient multimodal instruction tuning with Unsloth on GPUs. Unsloth PyTorch LoRA
YOLOv8-OBB SAR Detection Radar imagery vehicle detection with oriented bounding boxes & DOTA format. YOLOv8 OpenCV Gradio
Brain Tumor Grad-CAM Transfer learning for medical classification with visual saliency heatmaps. TensorFlow Keras Grad-CAM
COVID-19 Chest X-Ray ResNet50V2 deep neural network with robust data augmentation pipelines. ResNet50V2 Python OpenCV
Full-Stack Applications & Cloud Platforms
Repository Focus & Capabilities Tech Stack
RehanPulse Real-time DevOps monitor with GitHub, Vercel, Firebase & embedded AI copilot. Next.js TypeScript Firebase
My Portfolio Production portfolio featuring Supabase auth, CMS control panel & dark mode. Next.js React Tailwind Supabase
TerraExplorer Interactive country exploration engine with geospatial maps & Gemini facts. React TailwindCSS Gemini API
Finance Tracker Personal expense tracking, budgets, financial targets & real-time sync. React Firebase TailwindCSS
Profile README Automated GitHub Actions profile with 100% uptime analytics & snake workflow. GitHub Actions SVG Markdown
Data Analytics, Business Intelligence & Data Science
Repository Focus & Capabilities Tech Stack
E-commerce Sales Intelligence PostgreSQL data warehouse, RFM segmentation, forecasting & Streamlit UI. SQL Power BI Streamlit Plotly
HR Analytics Dashboard Executive Power BI dashboard with 50 DAX measures & attrition risk scores. Power BI DAX Data Modeling
Data Analysis Portfolio Comprehensive analytics: Tableau, Power BI, MongoDB, clustering & EDA. Tableau Power BI MongoDB Python
Computer Vision & Deep Learning Lab
Repository Focus & Capabilities Tech Stack
Cats vs Dogs InceptionV3 High-accuracy transfer learning achieving ~99% accuracy with tf.data. InceptionV3 TensorFlow Keras
Image Classification & QA Preprocessing pipeline detecting corrupted, duplicate, and bright artifacts. TensorFlow Image Processing
CNN Autoencoder Denoising U-Net convolutional autoencoder for removing high-frequency noise from images. PyTorch Autoencoders CNN
CNN vs Transformer vs Xception Empirical benchmark of DeiT-Tiny Vision Transformers vs classic ConvNets. PyTorch Vision Transformers
Sports Ball Classifier Two-stage training with balanced datasets and FastAPI deployment. FastAPI Keras InceptionV3
Audio Mel-Spectrogram CNNs Audio signal transformation to 2D Mel spectrograms for CNN classification. Librosa PyTorch Audio DSP

Technical Competencies

Languages, frameworks, cloud platforms, and engineering toolsets.

AI, Machine Learning & Computer Vision




Full-Stack & Cloud Architecture




Data Engineering & Analytics

NumPy Pandas Jupyter PostgreSQL

DevOps & Development Tooling




Languages




GitHub Telemetry & Activity

Real-time metrics powered by automated GitHub Actions with 100% uptime.

Contribution grid snake



GitHub activity summary



Repositories by language   GitHub profile statistics



Languages by commit   Commit productivity hours

Contact & Professional Links

Open for AI Engineering, Computer Vision, and Full-Stack development roles.

LinkedIn   Portfolio   Email   WhatsApp

HuggingFace   Kaggle   Medium   Tableau Public


Developer Quote



Popular repositories Loading

  1. hr-analytics-dashboard hr-analytics-dashboard Public

    Power BI HR Analytics Dashboard built on the IBM Employee Attrition dataset (1,470 employees). Features 4 interactive dashboard pages, 50 DAX measures, 28 calculated columns, KPI tracking, salary a…

    1

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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