Welcome to my GitHub profile! I'm a passionate Artificial Intelligence, Deep learning, Machine Learning, Medical Imaging, Computer Vision, Data analytics and Blockchain researcher with a strong background in developing advanced systems for diverse applications. Below are some of my key technical skills and tools I frequently work with.
- Algorithms:
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory (LSTM)
- Gated Recurrent Units (GRU)
- Encoder-Decoder Models
- Connectionist Temporal Classification (CTC)
- Object Detection Algorithms (One-Stage and Two-Stage Detectors)
- StyleGAN2
- Libraries and Frameworks:
- Keras
- TensorFlow
- PyTorch
- scikit-learn
- OpenCV
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Technologies:
- Hyperledger Fabric
- Public Key Infrastructure (PKI)
- Tools:
- Docker
- Hyperledger Composer
- CouchDB
- Java (for chaincode development)
- Data Collection and Preparation:
- Dataset preparation for handwritten character recognition
- Handling large-scale datasets (e.g., meteorological and hydrological data)
- Data Augmentation:
- Techniques for improving model performance and robustness
- Libraries:
- Pandas
- SQLAlchemy
- MySQL
- MongoDB
- Tools:
- Python HTTP Server
- Command-line Interface (CLI) for running scripts
- Flask
- Django
- Applications:
- Malaria parasite detection in blood slides
- Cervical cancer screening using Pap smear images
- Techniques:
- Fine-tuning pre-trained deep learning models for medical image classification
- Automated cytology-based screening
- Applications:
- Amharic handwritten text recognition
- OCR (Optical Character Recognition) for low-resourced languages
- Tools and Techniques:
- Custom CNN models for character and word recognition
- Sequence encoding using RNNs
-
Programming Languages: Python, Java
-
Machine Learning and Deep Learning Libraries: Keras, TensorFlow, PyTorch, scikit-learn, OpenCV, NumPy, Pandas, Matplotlib, Seaborn
-
Blockchain and Security Frameworks: Hyperledger Fabric, Hyperledger Composer, PKI, CouchDB (for world state database)
-
Web Development Tools: Python HTTP Server, Flask, Django
-
Containerization: Docker
-
Development Environments: Jupyter Notebook, Google Colab
-
Database Systems: MySQL, MongoDB, SQLAlchemy
-
Data Formats: YOLO format, COCO format
-
Pre-trained Models and Architectures: DenseNet121, DenseNet169, ResNet-50, VGG-19
-
- 📫 How to reach me: Email me afetulhak@yahoo.com
Feel free to explore my repositories and get in touch if you have any questions or collaboration ideas!