I am working as a Research Scientist at sync, where I develop advanced AI-driven video editing tools. My work focuses on designing and implementing generative architectures—spanning diffusion models, GANs, and transformer-based networks—to enable precise, controllable modification of human appearance, motion, and expression in video sequences.

I earned my Ph.D. in Artificial Intelligence from the Department of Electrical Engineering at the Indian Institute of Technology Bombay, where I developed resource-efficient neural architectures for various computer vision tasks such as classification, segmentation, inpainitng and super-resolution. During my doctoral studies, I was associated with the MeDAL (Medical Imaging, Deep Learning, and Artificial Intelligence Lab) under the supervision of Prof. Amit Sethi.

I also completed a six-month internship (July 2023–January 2024) with the AI Camera Team of Visual Intelligence Division at Samsung R&D Institute India, Bangalore (SRI-B), where I developed and optimized deep learning models for image classification, object detection, and generative tasks. These models have been integrated into Samsung’s flagship Galaxy S24 series.

I returned to Academic Research at the Department of Physics, Indian Institute of Technology Madras, focusing on theoretical physics, quantum computing, and quantum information under Prof. Vaibhav Madhok.

Post-Graduate Engineering Trainee at the Engineering Research Centre of Tata Motors Limited, where I conducted vehicle performance and thermal analysis for braking systems.

M.Tech in Robotics at the Department of Mechanical Engineering, Indian Institute of Technology Kanpur,, where I was part of the Center for Mechatronics. Under the guidance of Prof. Ashish Dutta, I designed and prototyped a lower-extremity exoskeleton for rehabilitation applications.

B.Tech in Mechanical Engineering from NSS College of Engineering, University of Calicut.