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I recently graduated with a dual degree (B.Tech + M.Tech) in Electrical Engineering and Machine Learning from the Centre for Machine Intelligence and Data Science at IIT Bombay.

I was fortunate to be advised by Prof. Sunita Sarawagi. My research lies at the intersection of robust machine learning and generative modelling, with recent work focusing on reward-guided sampling for diffusion models and diffusion models for Tabular Data in general. Part of this work was accepted at ICLR 2025.

Currently, I’m interning at Aalto University under Prof. Vikas Garg, where I’m working on discrete diffusion models.

I’m passionate about all things diffusion — continuous, discrete, and everything in between. I’m currently looking for PhD opportunities starting Fall 2025 and I am open to research internships or assistantships in the meantime.

You can find a list of my publications here, and explore my projects on my GitHub.

Here are some other relevant links:

• Curriculum vitae
• Research
• Contact me
• a cool 404 page