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Satya Phanindra Kumar Kalaga

Mid-level AI/ML Developer

Skills

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

Machine Learning


60.31%

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

Frontend


17.56%

  • CSS Styling
  • Web Performance
  • RESTful
  • Redux
  • State Management
  • Axios
  • UI Testing
  • Bootstrap
  • UI Development
  • React
  • Jest

Backend


13.74%

  • API Development
  • Auth
  • Scaling
  • RESTful
  • Flask
  • Monitoring & Logging
  • Express
  • Microservices Design
  • JWT
  • Mongoose
  • MongoDB
  • Dotenv
  • Server-side Caching

Embedded Systems


3.05%

  • IoT Cloud Platforms

Mobile App


3.05%

  • Cross-platform App Development

DevOps


2.29%

  • CI/CD
  • Infrastructure Monitoring