Kushal Vyas is a PhD researcher and applied ML engineer who designs novel deep learning models and training workflows at the intersection of computer vision, physics, and large-scale scene representation. With 11 years of experience spanning industry research roles at Samsung Research America—where he led computational photography projects resulting in 10+ patents and a President’s Research Award—and academic work at Rice and CMU, he pushes transformers and hybrid methods to handle billion-pixel signals across modalities. He has published in NeurIPS, CVPR, and MICCAI and was awarded Best Paper at MICCAI 2025 for work that dramatically speeds medical imaging pipelines. Currently interning on Adobe’s NextCam team while pursuing his PhD, Kushal combines theory, systems, and product-minded implementation, and is the creator of the Alpine library. Colleagues note his ability to translate physics-informed insights into scalable AI models that bridge audio, image, and n-dimensional tensor data.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, 4.00, Doctor of Philosophy - PhD, 4.00 at Rice University
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at University of Mumbai
Master's degree, Computer Vision, Master's degree, Computer Vision at Carnegie Mellon University
Contributions:2 pushes, 1 branch, 1 issue in 5 years 4 months
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