5+ years of experience in software development using Python ,C#, typescript and deploying it on cloud using Microsoft Azure, AWS.Research on automatic Fact extraction and text summarization using NLP. Experience with Statistical based approaches,Graph based approaches for summary generation. Experience developing model with LDA and LSA. Experience with Google Word2Vec model, Python's numpy and scipy. Experience with Unsupervised approaches like Clustering and Hidden Markov Model to discover hidden structure in unlabelled data.Proficient in:Recurrent Neural Networks and Language Model, N-gram Language Model,LSTM, GRUConvolutional Neural Networks, MaxPoolingNeural Machine Translation, Sequence to Sequence Model, Attention ModelsWordvector, Backpropogation, Tensorflow, Dependency ParsingVanilla Gradient Descent, RMS Prop, AdamOptimizerLinear Algebra, Convex Optimization, Multivariate CalculusContinuous and discrete probability distributions, Bayesian StatisticsFive number summary, inverse transformation scores,normal probability plotBasic Probability, Sampling, Hypothesis testing, One/two sampled test, ANOVA testLinear regression, Logistic Regression,SVM, Generative Learning Models, K-Means, KNN, Decision Tree,ensemble methods, Random Forest,Tensorflow, TFRecords,TFEventhub, TF Dataset API, TensorBoard