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Daniel Tu

Mid-level AI/ML Developer

Skills

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

Machine Learning

68.58%

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

DevOps

12.6%

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

Frontend

7.18%

  • Vue
  • Bootstrap
  • Web Performance
  • UI Testing
  • Webpack
  • Jest
  • CSS Styling
  • Animation
  • Three
  • Redux
  • State Management
  • Axios
  • UI Development
  • React
  • RESTful
  • GraphQL

Backend

5.58%

  • Dotenv
  • RESTful
  • Redis
  • Auth
  • Scaling
  • Monitoring & Logging
  • Microservices Design
  • GraphQL

Mobile App

4.63%

  • Location-based Services
  • Expo
  • AR/VR Integration
  • React Native
  • Cross-platform App Development
  • App Distribution

Embedded Systems

1.44%

  • IoT Cloud Platforms