Hardware design 

• Component selection, schematic drawings and simulations

Firmware

• IP core sub module development and testing and documentation

Software

• 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.