• Hi there, I'm Fetulhak Shewajo 👋

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.

Technical Skills

Machine Learning & Deep Learning

• 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

Blockchain & Security

• Technologies:
  • Hyperledger Fabric
  • Public Key Infrastructure (PKI)
• Tools:
  • Docker
  • Hyperledger Composer
  • CouchDB
  • Java (for chaincode development)

Data Handling & Analysis

• 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

Web Development & Deployment

• Tools:
  • Python HTTP Server
  • Command-line Interface (CLI) for running scripts
  • Flask
  • Django

Medical Imaging & Diagnostics

• 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

Language & Text Processing

• 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

Tools & Technologies

• 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!