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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

87.78%

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

Mobile App

6.89%

  • Cross-platform App Development

Backend

2.44%

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

Embedded Systems

2%

  • IoT Cloud Platforms

DevOps

0.44%

  • Log Analysis

Frontend

0.44%

  • GraphQL
  • RESTful