Hi! I am a final year PhD student under the guidance of prof. Girish Varma at Machine Learning Lab, IIIT-Hyderabad, India. Previously, I have completed research internships at Computer Vision and Robotics Laboratory, University of Illinois at Urbana-Champaign (UIUC) Champaign, IL, under the guidance of prof. Narendra Ahuja in collaboration with Dr David Beiser and Dr David Chestekat at College of Medicine at University of Illinois Chicago . I have also completed a research internship at School of Mathematics and Statistics, University of New South Wales (UNSW) Sydney, Australia, under the guidance of Prof Rohitash Chandra and Dr. Ehsan Farahbakhsh in collaberation with School of Geosciences, The University of Sydney, Australia.
I hold a BTech degree in Computer Science Engineering from Harcourt Butler Technical University, Kanpur, India. I am from Greater Noida, India. I am passionate about creating and building ML ideas. My main research interests include Computer Vision, Robotics, Theoretical Machine Learning, and Deep Learning.
I also read novels, find a list of interesting books here. Sometimes I ramble through the neural net of my brain about random thoughts, for preview click here.
Updates & News:
04-2024, We are organizing a Comptetion on Safe Segmentation of Drive Scenes in
Unstructured Traffic and Adverse Weather Condition co-located with ICPR'24
02-2024, Selected for Oxford Machine Learning Summer School 2024.
01-2024, Selected for Research Internship (Computer Vision), Sony Research India, Bangalore
08-2023, Won 1st Place in NVIDIA Competitions, ICETCI 2023 Reviving Cultural Heritage In Images using Image-restoration SOTA.
08-2023, Awarded one year iHub-Data PhD Fellowship
07-2023, I'll interning at Advance Research Group, Samsung R&D Institute-Bangalore (SRI-B).Project: Generative Models for Images Super-Resolution.
06-2023, Won the C4MTS: CHALLENGE for MISSING TRAFFIC SIGNs, NCVPRIPG 2023, IIT Jodhpur.
03-2023, Won Cash Prize: Hackathon, ML4Science 2023 , GitHub repo link
03-2023, Selected for Oxford Machine Learning Summer School 2023.
01-2023, Selected for Research Week with Google 2023
02-2023, I will present "Normalizing Flow models for 3D molecular generation" at ML4Science 2023
02-2023, FInC Flow accepted at VISAPP'23 with oral presentations.
02-2022, Awarded one year iHub-Data MS Fellowship.