Experience
- Since June'24, I have been working closely with the team at SketchX lab on a creative idea inspired by NVIDIA's Instant-ngp in the domain of 3D Computer Vision aimed at a publication.
- From May'24-July'24, I was an on-site research intern at Dr. Swagatam Das's Machine Learning Research Lab at ISI Kolkata. My work there focused on Graph Structure Learning for mitigation of oversmoothing in Deep-GNNs, aimed at a short publication.
- Since May'24, I am collaborating with Dr. Amitava Das's Team at AIISC on a publication focused on developing a first-of-its-kind dataset based on classification and identification of hallucinations in AI-Generated Text-to-Videos. My contributions include developing the pipeline for benchmarking and classification of hallucinations in AI-generated videos, along with inferencing the current state-of-the-art models in the Text2Video domains.
- I worked as an AI research intern at MirrAR from Dec'24 - Mar'24, where I worked with Dr. Sameer's Team on a 3D Hand Mesh Reconstruction pipeline. My work there broadly dealt with Stacked Hourglass Networks, GCNs, Spiral Convolutions, and Heatmaps for joint estimation.
- During early 2024, I was briefly involved with PostDoc Xingjian Li of Xu Lab@CMU on employing NeuralODEs for Image Segmentation of CryoET Data.
- My team was the Winner of the ML Track of the 24-hour-long Hackathon Silicon Maze'23, conducted by NIT-K(National Institute of Technology, Surathkal).
Looking for Opportunities
Seeking opportunities in Deep Learning research, internships, or collaborations with a particular interest in 3D Computer Vision, Neural Graphics, and Graph Machine Learning. Open to partnerships with individuals, institutions, or companies, without geographical restrictions.
Please feel free to contact me for the exchange of interesting ideas in Deep Learning.