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Iraitz

Mid-level AI/ML Developer

Skills

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

Machine Learning

82.35%

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

Mobile App

6.69%

  • Cross-platform App Development

Backend

4.06%

  • Server-side Caching
  • WebSocket
  • Microservices Design
  • GraphQL
  • RESTful
  • Monitoring & Logging

DevOps

2.64%

  • Log Analysis
  • CI/CD
  • Security & Compliance
  • Pipeline Design
  • Infrastructure Monitoring

Embedded Systems

2.64%

  • IoT Cloud Platforms

Frontend

1.62%

  • Web Performance
  • WebSocket
  • GraphQL
  • RESTful