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GIFs Search Engine and Performance Optimization Project

The high-level goal of this project is oriented towards improving a search engine to better understand the user’s intent behind the search query and suggest the matching imagery. To achieve this goal, our team has designed, built, validated and trained an API that encompasses several Machine Learning algorithms.

  • Deep Convolutional Neural Networks (ConvNet or CNN
  • Deep Recurrent Neural Networks
  • Reinforcement Learning
  • Continuous Learning
  • Metric Learning
  • Sequence to Sequence Architecture
  • Word2Vec
  • Word Embeddings
  • Word Lemmatization and Tokenization
  • Faces Embedding
  • Infrastructure as Code (IaC)
  • Keras
  • PyTorch
  • Kubernetes
  • AWS S3
  • Docker
  • CI/CD
  • Terraform
  • TensorFlow
  • Jenkins
  • Redshift
  • Python
  • Babel
  • React
  • NewRelic
  • Django
  • Gunicorn
  • WebPack
  • Scala
  • Protobuf
  • Spark
  • Akka
  • Akka HTTP
  • Akka Streams
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GIFs Search Engine and Performance Optimization Project