Mahendra Khened
Applied Scientist II at Amazon
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolMahendra Khened is an Applied Scientist II with nine years of experience combining deep academic research and product-focused AI engineering, currently building generative AI solutions for Kindle’s content experience at Amazon. He holds a PhD from IIT Madras where he developed deep learning methods for medical image segmentation and classification, and then led R&D at Verisk applying vision-language and multimodal models to satellite and aerial imagery for hazard recognition. His technical breadth spans image OCR, object detection, segmentation pipelines, and deploying robust ML systems in production, informed by earlier firmware and satellite systems work at Bosch and ISRO. Comfortable bridging research and engineering, he has a track record of turning complex imaging problems into operational solutions. Outside of work he teaches meditation, practices yoga, and manages a farm near Bangalore, reflecting a unique blend of technical rigor and grounded, nature-connected balance.
9 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology MadrasBachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at BMS College of Engineering, Bangalore
Github Skills (12)
digital-pathology4
science4
deep-learning3
machine-learning3
backend3
torchvision2
artificial-intelligence2
pytorch2
cuda1
mask-rcnn1
gpu1
grad-cam1
Programming languages (4)
Github contributions (5)
mahendrakhened/Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Feb 2018 - Apr 2019
Contributions:25 commits, 23 pushes, 1 branch in 1 year 1 month
mahendrakhened/-FC-Multi-scale-Residual-DenseNets-for-ACDC-2017-Challenge-
Feb 2018 - Feb 2018
Contributions:1 push, 1 branch in 1 day
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