Hardware design 

  • Component selection, schematic drawings and simulations


  • IP core sub module development and testing and documentation


  • Applications development, Validation, and documentation. Generating technical literature.

Artificial Intelligence

  • Developing deep learning algorithms like Convolutional Neural Networks (CNNs), Long Short Term Memory Networks (LSTMs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Radial Basis Function Networks (RBFNs), Multilayer Perceptrons (MLPs), Self Organizing Maps (SOMs), Deep Belief Networks (DBNs), Restricted Boltzmann Machines( RBMs) and Autoencoders 
  • Developing machine learning algorithms like Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, kNN, K-Means, Random Forest, Dimensionality Reduction Algorithms and Gradient Boosting algorithms

RF & Microwave

  • RF sub module development and testing and documentation. Simulations, Generating technical literature.  
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