Subeesh Vasu

Associate Specialist, Algorithm Development Engineering

Chennai, Tamil Nadu, India
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Summary

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Subeesh Vasu is an algorithm development engineer with a decade of experience applying computer vision and deep learning to real-world problems, currently building algorithms at KLA. He transitioned from postdoctoral research at EPFL’s Computer Vision Lab—where he worked on image segmentation, medical image processing and 3D shape modeling—to industry roles that bridge research and production AI. His PhD from IIT Madras produced contributions in image restoration, underwater imaging, computational photography and scene inference, reflecting a strong foundation in both theory and applied imaging. At KLA he has progressed from AI Engineer to Associate Specialist, demonstrating an ability to translate advanced research into practical algorithmic solutions for high-impact products. Colleagues describe him as a researcher-turned-engineer who keeps a scientist’s rigor while shipping dependable production models. His personal webpage and GitHub reflect a sustained focus on imaging and open dissemination of research code and results.
code10 years of coding experience
job6 years of employment as a software developer
bookIndian Institute of Technology Madras
bookMaster of Technology (M.Tech.), Signal Processing, 8.63, Master of Technology (M.Tech.), Signal Processing, 8.63 at National Institute of Technology Calicut
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Stackoverflow

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Github Skills (69)

motion-blur10
shutter10
generative10
deep-learning10
depth-estimation10
radial10
computer-vision10
generative-adversarial-network10
calibration10
deep-neural-networks10
action-recognition10
optical-flow10
imagenet9
hci9
pytorch9

Programming languages (3)

GoHTMLPython

Github contributions (5)

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Contributions:370 pushes, 1 branch in 6 years 7 months
A list of resources about deep learning solutions on 3D shape processing
Contributions:268 commits, 1 PR, 167 pushes in 1 year 6 months
deep-learningcomputer-vision
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Subeesh Vasu - Associate Specialist, Algorithm Development Engineering