Always being fascinated by the computer games that had the computer as an opponent, I got myself into many Machine Learning and Artificial Intelligence classes.

Though this answered my naive childhood question ‘How does the computer know what to do next?’, it opened doors to a myriad of unsolved complicated problems in the machine intelligence field.  

I’ve spent a lot of my days (and nights) working on many of these interesting problems and would love to utilize the things I’ve learned and further extend my knowledge by working on some real-world problems.

In currently working on implementing Deep Convolutional GAN and Self Attention Conditional Wasserstein GAN on the CIFAR-10 dataset. I’ve also worked on many other ML projects that use Logistic Regression, Support Vector Machines, Random Forests, Convolutional Neural Networks, Autoencoder, Variational Autoencoder and Bayesian Statistics.

My most favorite project I worked on was to compare handwritten samples of the letter ‘and’ of two writers and verify if the handwriting samples are of the same writer. I designed a Bayesian model, Siamese convolutional neural network and a hybrid model that consists of an autoencoder combined with 15 CNNs and compared the results.

I work a lot with TensorFlow, Keras, Pandas, scikit-learn, matplotlib and other supplementary ML libraries . and I’m currently learning to use the PyTorch and OpenCV libraries. My paper ‘Objects Talk – Object Detection and Pattern Tracking Using TensorFlow’ was published in the IEEE Xplore library. I have also successfully replicated the paper ‘How old do you think I am? A Study of Language and Age in Twitter by Dong Nguyen et al’ with some additional hypotheses.