I am a passionate AI/CV Engineer with a background in Medical Imaging and a current focus on AI and Computer Vision applications. Currently pursuing a master's degree in Artificial Intelligence, I'm enthusiastic about leveraging technology to solve complex problems and contribute to the development of innovative solutions.

• Programming Languages: Python
• Frameworks: OpenCV, Tensorflow, Keras, Scikit-Image,Scikit-learn
• Skills: Computer Vision, Machine Learning, Deep Learning, Data Science
• Tools: IBM CV Studio, Microsoft Azure
• Other: Microsoft Office, Project Management

• Image Classification with DNN’s and CNN using Tensorflow/Keras

  • Implemented image classification using deep neural networks and convolutional neural networks.
  • Optimized multiclass classification on Kaggle datasets using transfer learning.
  • Deployed machine learning classification models using IBM Cloud service in CV studio.
  • Applying Data Augmentation methodologies to optimize the model and avoid overfitting.
  • Training Multiclass Classification model with Pytorch.
  • Tuning a pre-trained UNet Model for MRI Image Segmentation.
  • Built and train Regression Model in Python to predict house price
  • Creation of NLP Synthetic data series and made predictions using statistical models.
  • Getting predictions on time series synthetic and real data with RNN’s, LSTM and Stacked layers of LSTM’s and CNN

• Medical Image Segmentation using GAN and MSRF-Net

  • Conducted research on Medical Image Segmentation using Generative Adversarial Networks (GAN) and Multiscale Residual Fusion Network (MSRF-Net).

• Imaging Physicist at SIUT
  • Evaluated PET image quality and performed QC tests for PET/CT scanner.
  • Troubleshooted image acquisition/reconstruction failures and performed new reconstructions.
  • Managed equipment, including specification and acceptance testing of new equipment.

• IBM AI Engineering Professional Certificate
• DeepLearning.AI TensorFlow Developer Professional Certificate
• IBM Data Science Professional Certificate (In Progress)

1. "Medical Image Segmentation using Generative Adversarial Networks GAN and Multiscale Residual Fusion Network MSRF-Net"
2. "Detection of Esophageal Anomalies from PET and CT Images with Deep Neural Network(In Progress)"

• LinkedIn: My LinkedIn Profile
• Twitter: My Twitter Profile

Let's connect and collaborate on exciting AI and CV projects! 🚀