Manan Shah
Machine Learning Engineer Intern at Adobe
San Jose, California, United States
Summary
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Rockstar🎓
Top SchoolManan 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 UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Indian Institute of Technology, Mandi
Stackoverflow
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Github Skills (200)
image-generation10
audio10
flux10
pytorch10
diffusion-models10
deep-learning10
diffusers10
text2image10
stable-diffusion10
computer-vision9
data-cleaning9
visualization9
keras9
reinforcement-learning9
computer-graphics9
Programming languages (13)
Github contributions (5)
cs-mshah/codeforces-customizer
Jul 2021 - Aug 2022
Contributions:1 release, 12 commits, 2 pushes in 1 year
cs-mshah/Cyborg
Jan 2021 - Dec 2022
A telegram chatbot that answers basic queries
Contributions:10 commits, 3 PRs, 4 pushes in 1 year 11 months
chatbottelegram
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