A diligent, determined and creative worker. Recently interned at Samsung Research America in Bixby (Samsung's virtual assistant) Team. •Worked on Bixby Project for classification of Android applications and their features given the UI syntactic navigation flows using Machine Learning and Deep Learning techniques.•Techniques/Languages used: Python (Pandas, NumPy, scikit-learn, TensorFlow, Keras), Recurrent Neural Networks, Convolutional Neural Networks, Support Vector Machines (SVM), Gradient Boosting (GBM), Random Forests(RF) and Multilayer Perceptron (MLP) Work experience of more than 2 years in Samsung R&D Institute India moulded me into a successful collaborator and team player. •Responsible for dialogue management and contextual user interactions of Samsung’s virtual assistants, S Voice and Bixby.•Implemented Natural Language Generation (NLG) flow using C++ for Samsung Connect agent in Bixby Project which helped in achieving reduction of server response latency. •Implemented NLG Flow in C++ for Calendar domain and was responsible for increasing the domain accuracy by 8%.•Worked on statistical Natural Language Understanding (NLU) which involved implementation of morphological analysis algorithms and syntax parsing of text.•Technologies/Languages used: C++, Python, Java, NLG, Morphology, Parsing, RegressionAm persistent in solving challenging problems and enjoy in the process. I can articulate the ideas clearly and adapt to the difficult situations.