About Me

Hi! I am a final-year PhD student at Machine Learning Lab, IIIT-Hyderabad, India, under the guidance of Prof. Girish Varma. My research primarily focuses on Probabilistic Generative Models (Normalizing Flows), Theoretical Machine Learning, and Deep Learning, with applications in Computer Vision.

I have industry experience from my semester at Samsung Research, where I worked with Dr. Sathya Reddy and Dr. Pravin Nair on Generative Models for Image Super-Resolution. Additionally, I have completed research internships at:

• CVR Lab, University of Illinois, under the guidance of Prof. Narendra Ahuja in collaboration with Dr. David Beiser and Dr. David Chestekat at the College of Medicine at the University of Illinois, Chicago.
• School of Mathematics and Statistics, University of New South Wales, Sydney, under the guidance of Prof. Rohitash Chandra and Dr. Ehsan Farahbakhsh in collaboration with the School of Geosciences, The University of Sydney, Australia.

I hold a B.Tech degree in Computer Science & Engineering from Harcourt Butler Technical University - Kanpur, India. I am from Greater Noida, India. Beyond research, I am passionate about building and developing innovative ML solutions. I am also an avid reader; feel free to check out my collection of intriguing novels on Goodreads.

News and Updates

• 07/2025, Started my Postdoctoral position at the AI-IDT Lab, TU Munich under the supervision of Prof. Benedikt Wiestler and Prof. Anke Meyer-Baese (Florida State University).
• 04/2025, Selected for the “COSPAR Outstanding Paper Award for Young Scientists, 2024” for our Geo-SAE paper.
• 02/2025, Awarded ACM India-IARCS travel grant for attending AISTATS`2025.
• 01/2025, Inverse-Flow accepted at AISTATS`2025.
• 10/2024, Talk and Tutorial on Vision-Transformer, DRDO, India.
• 10/2024, Pre-print R2I-rPPG: Heart-rate extraction from Video.
• 09/2024, Paper accepted at ICPR`24, Competition on Safe Segmentation.
• 06/2024, I will be attending Climate Change AI Summer School 2024.
• 04/2024, We are organizing a Competition on Safe Segmentation at ICPR`24.
• 02/2024, Selected for Oxford Machine Learning Summer School 2024.
• 09/2023, ‘SR SOTA for Art Restoration’ accepted at IEEE ICETCI`23.
• 08/2023, Secured 1st Place in NVIDIA Competitions, ICETCI`2023.
• 08/2023, Awarded one year iHub-Data PhD Fellowship.
• 07/2023, I will be interning at Samsung R&D Institute-Bangalore.
• 06/2023, Secured 1st place at C4MTS CHALLENGE, NCVPRIPG 2023.
• 03/2023, Won Cash Prize Hackathon, ML4Science 2023, GitHub repo link.
• 03/2023, Talk: “Flow models for 3D molecular generation” at ML4Science 2023.
• 03/2023, Selected for Oxford Machine Learning Summer School 2024.
• 01/2023, Selected for Research Week with Google 2023.
• 02/2023, FInC Flow accepted at VISAPP`23 with oral presentations.
• 02/2022, Awarded one year iHub-Data MS Fellowship