About Me

I am third-year a Computer Science Ph.D. student at the University of North Carolina at Chapel Hill, advised by Prof. Praneeth Chakravarthula at the VCAIL Lab. Currently, I am working on a mixture of computational optics, generative models and out-of-domain generalization, specifically exploring deep-optics and computational image reconstruction to improve achievable image quality with meta-lenses.

My research interests broadly encompass physics-inspired deep learning for learning nano-photonic metastructures, optimization for optics design, and real-time video diffusion models. I am actively working on designing hardware for metalenses including HDR, wide-field, broadband and real-time systems, while also exploring the integration of camera dynamics into generative models. In Summer 2025, I did a research internship at AMD working on interactive generative rendering.

Prior to my Ph.D., I gained valuable industry experience as an AI Engineer at KLA-Tencor through ACL (Advanced Computing Labs, IIT Madras), where I worked under Dr. Pradeep Ramachandran and collaborated with Prof. Nitin Chandrachoodan on efficient GPU memory algorithms, designing software infrastructures for ML inference workloads in semiconductor inspection and defect detection systems. During my undergraduate years, I was fortunate to collaborate with Prof. Parag Chaudhuri at ViGIL, IIT Bombay, working on realistic hand shape modeling.

I have also been fortunate enough to have worked on diverse projects spanning computer graphics, reinforcement learning, and computational imaging - from developing intelligent game-playing agents using deep Q-learning at Ubisoft India to creating physics-based animations, 2D network graph visualization libraries in Julia, and implementing advanced image processing algorithms. As an open source enthusiast, I have contributed to Google Summer of Code with Boost.C++, been an LFX Mentee with Open Horizon, and contributed to Javis.jl for 2D drawing and visualization software. I have been recognized with LiFT'21 and LiFT'22 scholarships for advanced open source training, Bertelsmann Tech scholarship, and Kaggle ML Research Spotlight.