Mohd-Abdul-Rafay - Overview

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Computer Vision Engineer | Medical AI | Vision Transformers | Representation Learning

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  1. Small Object Detection in Dense UAV Imagery using YOLOv8-L with Structured Ablation (EMA, P2 Head, PIoU) and SAHI Evaluation on VisDrone2019.

    Jupyter Notebook 5

  2. Transformer-based medical image classification pipeline using a pretrained Swin Transformer (timm) for metastatic cancer detection on the PCam dataset, with controlled train/validation/test split a…

    Jupyter Notebook

  3. Structured experimental comparison of supervised transfer learning and contrastive self-supervised pretraining (SimCLR) on gastrointestinal endoscopy imaging (Kvasir v2), with downstream classifica…

    Jupyter Notebook

  4. Deterministic spectral shape modeling framework implementing boundary-based Fourier descriptor truncation and real-time reconstruction.