Nisarg Shah

Graduate Student Research Assistant

Los Gatos, California, United States
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Summary

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Nisarg Shah is a PhD candidate in Electrical & Computer Engineering at Johns Hopkins University with six years of experience in deep learning, computer vision, and biomedical imaging. He combines academic research with industry practice through internships and research roles at Netflix, AWS (working on agentic workflow automation), and The AI Foundation. His past work includes state-of-the-art segmentation for non-small cell lung tumor detection, reflecting a practical focus on high-impact medical imaging problems. Comfortable moving models from research to product environments, he has experience across research engineering and applied ML in both startups and large tech. Based in Los Gatos, he brings a blend of rigorous research training and hands-on systems experience that accelerates translational AI projects.
code7 years of coding experience
job1 year of employment as a software developer
bookBTech - Bachelor of Technology, Electrical Engineering, BTech - Bachelor of Technology, Electrical Engineering at Indian Institute of Technology Jodhpur
bookJohns Hopkins University
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Github Skills (48)

face-generation10
generative-adversarial-network9
face-recognition8
image-manipulation8
computer-graphics8
image-translation7
parsing7
cyclegan7
computer-vision6
segmentation6
classification6
pytorch6
image-generation5
deep-learning5
super-resolution5

Programming languages (4)

GoHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:13 pushes, 2 branches in 6 years
Colonoscopy tissue segmentation and classification
Contributions:30 commits, 29 pushes, 2 branches in 8 months
classificationsegmentation
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