I will do computer vision and medical image analysis
AI, Deep Learning Researcher LLM, Computer Vision Data Scientist
About this Gig
Are you looking for an expert in computer vision, YOLOv8 object detection, and medical image analysis?
Hi, Im Husnain! I am a PhD Researcher in Computer Science and M.Sc. in Data Science graduate. I specialize in building research-grade and industrial Computer Vision and Deep Learning pipelines using PyTorch and TensorFlow.
My Featured Experience Includes:
- Industrial Defect Detection: Automated visual inspection using custom YOLOv8 & transfer learning.
- 3D Medical Imaging (MRI, CT, PET): Author of SarcomaNet, a multi-task 3D deep learning framework for tumor segmentation, classification, and survival prediction using self-supervised learning.
- CNN Architecture Benchmarking: Optimizing ResNet, DenseNet, MobileNet, and Vision Transformers (ViT) for high accuracy and low-resource edge deployment.
What I Can Do For You:
- Object Detection & Tracking (YOLOv8, Faster R-CNN)
- 2D & 3D Medical Image Segmentation & Classification (DICOM, NIfTI, MRI/CT)
- Self-Supervised Pretraining & Transfer Learning
- Image Preprocessing, Classical Filtering & Data Augmentation
- Model Optimization & Deployment-Ready Python Code
Please message me before placing an order so we can discuss your dataset and goals!
APIs:
Microsoft Computer Vision AI
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Google Cloud Vision API
Programming language:
Python
•
SQL
Tools:
Jupyter Notebook
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OpenCV
•
Colab
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PyTorch
Frameworks:
Scikit-learn
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Keras
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PyTorch
•
Panda
FAQ
Can you handle 3D medical scans like MRI and CT?
Yes! My Master's thesis and published research specifically focus on 3D multi-modal radiological imaging (MRI, CT, PET) for segmentation and classification
What frameworks do you use?
Primarily Python, PyTorch, TensorFlow, OpenCV, and Ultralytics YOLO.

