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?

Previously, 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.



  • Generative Models
  • Topological Data Analysis
  • Differential Geometry


  • BTech in Computer Science and Engineering, 2020 from West Bengal University of Technology