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.
code6 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 (60)

face-generation10
generative-adversarial-network9
cyclegan8
image-manipulation8
computer-graphics8
face8
sentence7
dcgan7
face-recognition7
editing7
computer-vision7
glove6
deep-learning6
parsing6
gensim6

Programming languages (3)

GoJupyter NotebookPython

Github contributions (5)

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Contributions:30 commits, 29 pushes, 2 branches in 8 months
Contributions:10 pushes, 1 branch in 10 months
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Nisarg Shah - Graduate Student Research Assistant