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Testimony Adekoya

Mid-level AI/ML Developer

Skills

The skills chart displays the technologies and skills detected when we scan the user‘s repositories.

Machine Learning


83.82%

  • TensorFlow
  • Computer Vision
  • Deep Learning
  • Model Deployment
  • NLP
  • PyTorch
  • Keras
  • Feature Engineering
  • LightGBM
  • XGBoost
  • Scikit-learn
  • NumPy
  • Unsupervised Learning
  • Matplotlib
  • Supervised Learning
  • Data Visualization
  • Reproducibility
  • Pandas
  • Time Series Analysis

Backend


6.8%

  • API Development
  • Scaling
  • Flask
  • Auth
  • Redis
  • Microservices Design
  • GraphQL
  • RESTful
  • Server-side Caching

Frontend


3.56%

  • CSS Styling
  • Web Performance
  • GraphQL
  • RESTful

Mobile App


3.24%

  • Cross-platform App Development

Embedded Systems


1.62%

  • IoT Cloud Platforms

DevOps


0.97%

  • CI/CD
  • Pipeline Design
  • Log Analysis