Summary
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.
6 years of coding experience
1 year of employment as a software developer
BTech - Bachelor of Technology, Electrical Engineering, BTech - Bachelor of Technology, Electrical Engineering at Indian Institute of Technology Jodhpur
Johns Hopkins University