Visiting Scholar at ASU College of Health Solutions
New Delhi, Delhi, India
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Summary
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Senior
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Top School
Shiv Gehlot is a Visiting Scholar and PhD-trained researcher with 8 years of experience specializing in deep learning for medical image analysis, particularly cancer imaging. He has developed and deployed GPU-accelerated CAD tools covering segmentation, classification, and normalization, and published in top-tier journals in the field. Comfortable in Python, PyTorch, Keras and MATLAB, he has hands-on experience with GPU clusters and distributed computing to bring research models toward production. Formerly an assistant professor, he blends academic rigor with practical system-building and is seeking roles that merge medical imaging, computer vision, and scalable deep learning. A detail that often goes unnoticed: his background in signal processing (MTech) underpins a strong foundation in algorithmic design for imaging problems.
8 years of coding experience
3 years of employment as a software developer
Master of Technology - MTech, Signal Processing, Master of Technology - MTech, Signal Processing at Netaji Subhas Institute of Technology
Doctor of Philosophy - PhD, Deep Learning For Cancer Imaging, Doctor of Philosophy - PhD, Deep Learning For Cancer Imaging at Indraprastha Institute of Information Technology, Delhi
Bachelor of Technology - BTech, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electronics and Communications Engineering at IILM COLLEGE OF ENGINEERING & TECHNOLOGY
Contributions:25 commits, 24 pushes, 1 branch in 3 days
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