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Create Functional Apps
  • Develop back-end servers with Python, Flask, Node.js, Express.js, EJS
  • Use databases such as MongoDB, Firestore for persistent data storage
  • Host full-stack web applications online with scalability
  • Implemented user authentication with Firebase and databases, use providers such as Sign in with Google and more
Full-Stack Website Development
  • Create almost any type of web application, from simple to complex with different tech stacks and frameworks
  • Extensively developed web applications using Next.js, React, Bootstrap, TypeScript
  • Develop complex apps with complex file structures and abstraction using components, pages, and more
  • Next.js API routes, developing internal APIs, using other APIs
  • Used Bootstrap, SCSS, CSS, classes to implement complex design

TensorFlowKerasNumPyPandasScikit-LearnAWSAWS LambdaAWS SagemakerGoogle CloudGoogle Cloud Functions
Create and Train ML Models
  • Create, train, and test machine learning models to analyze data and make predictions using Python, TensorFlow, Keras, and other industry standard tools
  • Use Pandas, NumPy, Scikit-Learn, and other industry-standard tools to preprocess data and train models
Deploy and Serve ML Models
  • Deploy models to the cloud using AWS Sagemaker, Google Cloud, TensorFlow Serving, and TensorFlow.js
  • Serve models by making them accessible for inference using REST APIs, connecting them to a frontend

TensorFlowKerasNumPyPandasScikit-LearnAWSAWS LambdaAWS SagemakerGoogle CloudGoogle Cloud Functions
Use Recurrent Neural Networks, LSTMs, and GRUs
  • Use Recurrent Neural Networks (RNN), LSTM, GRU,and more to create generative AI (like ChatGPT)
  • Preprocess text using tokenization, text vectorization, and embeddings
Use Convolutional Neural Networks
  • Use Convolutions and Convolutional Neural Networks (ConvNets) in image classification, text classification, and more.