Thanks for visiting. I am a researcher largely interested in the unison of Differential Geometry and Generative Modeling. I love to ask questions like:

1. Geometry has direct implications in interpretability for Machine Learning, but how far can we use it to reason how Deep Networks behave?
2. How can we make topological tools usable/differentiable for Machine Learning?

Previsously, I have worked at Indian Space Research Organisation and Indian Statistical Institute Kolkata where I worked on Microwave Image Processing and Hyperspectral Deep Learning respectively. In my free time , I read about Biblical mythology and Philosophy in an attempt to deconstruct reasons for human existence.