I am a Software Engineer at the non-profit Avanti Fellows, where I develop open source technology for public school systems alongside Pritam Sukumar. I also mentor contributors in the Code for GovTech program, supporting the creation of Digital Public Goods. I deeply aspire to understand how machine learning can help us address critical needs within public systems and to build responsible technology.

Previously, I worked as a Research Associate at Adobe Research under the guidance of Balaji Vasan Srinivasan. Before Adobe, I studied Electrical Engineering and Machine Learning at IIT Kanpur, where my thesis advisor was Prof. Piyush Rai.

I recently shared detailed notes on my research taste. Do check this post and let me know if any of the ideas resonate with you.

To emphasize, I have a strong interest in designing models with the following characteristics:

• formulated and deployed with care for local communities;
• built with domain-dependent inductive biases;
• small scale in both parameter count and training data size;
• adequately specified while graciously leaving room for critique;
• controllable and interpretable, likely through discrete latent variables;
• inferred via (semi)differentiable approximate Bayesian procedures.

Outside of work, I'm keen on exploring cities and their hidden spaces. Based in Mumbai, I'm endlessly intrigued by its urban histories and politics. If I'm not at home, you might find me loitering in the gullies around Sion or Byculla.