Rahul Bhalley published the first research paper on machine learning in 2016 for an IEEE conference. He actively contributes to open-source works on GitHub, including contributing to others’ repositories and writing his own neural networks for generating images. He also focuses on generative models—especially Generative Adversarial Networks and published on the subject in February 2019 with CycleGAN-QP for artist style transfer. He has also worked with Apple’s Swift and shares Google’s vision of making it easy for others to understand deep learning with Swift.