Manan Shah is an MS student in Computer Vision at Carnegie Mellon University with six years of industry and research experience spanning computer vision, vision-language models, 3D vision, and generative modeling. He has combined research and product work—contributing to published papers on diffusion models and 3D Gaussian splatting (3DV'25, CVPR'25) while shipping ML-driven features and automation at Microsoft and Cashfree Payments. As a Deep Learning Engineer and Research Assistant he built end-to-end pipelines for iris recognition, category discovery, and large-scale data processing, demonstrating strength in both model development and engineering infrastructure. Based in San Jose, he brings practical experience from Adobe and a penchant for tackling problems at the research–engineering boundary. Notably, his background reflects a curiosity-driven approach—equally comfortable implementing production automation and experimenting with cutting-edge generative 3D methods.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Vision, Master of Science - MS, Computer Vision at Carnegie Mellon University
Bachelor's degree, Computer Science, 8.45, Bachelor's degree, Computer Science, 8.45 at Indian Institute of Technology, Mandi
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