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Helmy LuqmanulHakim

Mid-level AI/ML Developer

Skills

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

Machine Learning


66.38%

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

Backend


13.62%

  • Next.js
  • RESTful
  • Dotenv
  • Server-side Caching
  • API Development
  • Auth
  • Scaling
  • Flask
  • Monitoring & Logging
  • Microservices Design
  • GraphQL

Frontend


12.34%

  • CSS Styling
  • Tailwind CSS
  • Next.js
  • UI Development
  • React
  • RESTful
  • Web Performance
  • GraphQL

Mobile App


4.26%

  • Cross-platform App Development
  • Mobile Testing

DevOps


2.55%

  • Automation
  • Version Control
  • GitHub
  • CI/CD

Embedded Systems


0.85%

  • IoT Cloud Platforms