Shubham Gupta

Hey there! Welcome to my personal site (always under development) where I document most of my previous and ongoing work. I am a software developer passionate about solving Computer Vision problems. My current interests lie in Ocean emulation across multiple depths and optimizing network inference for mobile computing.

I completed my Masters in Computer Engineering from New York University in May 2024. I worked actively with Dr. Chen Feng at AI4CE lab on Active Learning for Neural Radiance Fields and optimizing inference for visual place recognition for my Masters project. Addtionally, I worked as a Climate Modeling Research Assistant at M²LInES advised by Dr. Laure Zanna. My responsibilities include maintaining GitHub repositories and building Ocean Emulators. I will be returning to M²LInES to continue my work on Ocean Emulators. Extracurricularly, I led the Computer Vision subteam at NYU RoboMaster, where I manage and work with an interdisciplinary team of fifteen to train, optimize, and deliver a detection, forecasting and localization solution for the RoboMaster University League competition.

Prior to joining NYU, I was a research assistant at Indian Space Research Organization (ISRO) advised by Dr. R Hebbar and Dr. Uma D at PES University for spatio temporal tracking of water bodies in Bengaluru. For my undergraduate capstone project, I was advised by Dr. S Natarajan on self supervised learning for image inpainting.