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Harsh

Mid-level AI/ML Developer

Skills

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

Machine Learning


61.7%

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

Backend


19.15%

  • Microservices Design
  • Passport.js
  • Scaling
  • Redis
  • Server-side Caching
  • Dotenv
  • Express
  • API Development
  • RESTful
  • SQL
  • Auth
  • Flask

Frontend


12.77%

  • UI Testing
  • UI Development
  • React
  • Jest
  • RESTful
  • CSS Styling
  • Web Performance

Mobile App


3.55%

  • Location-based Services
  • Cross-platform App Development

DevOps


2.84%

  • Log Analysis
  • Pino
  • CI/CD
  • Pipeline Design