Kamlesh Pawar
Medical Imaging Engineer at Neuralink
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolKamlesh Pawar is a Medical Imaging Engineer with a PhD and over a decade of experience translating advanced computer vision and deep learning research into production-ready medical imaging and edge AI solutions. He has led AI development across academia and industry—from pioneering deep learning MRI reconstruction and motion correction at Monash University to deploying diagnostic CT algorithms in clinical settings and optimizing vision models for embedded processors. His career spans roles at Cadence, harrison.ai, Seeing Machines, and now Neuralink in Austin, reflecting a rare blend of low-level SIMD/ISA optimization skills and high-level model design for healthcare applications. Known for turning research prototypes into documented, scalable systems, he’s equally comfortable implementing RF pulse sequence design as he is shipping optimized CNNs on edge hardware.
8 years of coding experience
11 years of employment as a software developer
Rajiv Gandhi Proudyogiki VishwavidyalayaIndian Institute of Technology BombayDoctor of Philosophy (Ph.D.), Electrical Engineering, 9.63/10.0, Doctor of Philosophy (Ph.D.), Electrical Engineering, 9.63/10.0 at IITB Monash Research AcademyDoctor of Philosophy (Ph.D.), Electrical and Computer System Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer System Engineering at Monash University
Github Skills (14)
mri8
measurements7
convolutional-neural-networks7
medical-imaging6
robust6
inverse-problems6
segmentation6
deep-learning5
pytorch5
scale4
caffe4
computer-vision4
neuroimaging4
large-scale4
Programming languages (2)
Github contributions (5)
kamleshpawar17/BratsNet-2017
Oct 2017 - Aug 2020
MICCAI 2017 - Brain Tumor Segmentation Caffe Code
Contributions:12 commits, 2 PRs, 11 pushes in 2 years 10 months
pytorchbrainsegmentationbrain-tumor-segmentationdeep-learning
kamleshpawar17/Chirp-3d-Encoding-Matlab-Code
Jan 2019 - Oct 2021
Contributions:2 PRs, 7 pushes, 1 branch in 2 years 9 months
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