Karthik Krishnan - Director Of Visualization And Infrastructure

Karthik Krishnan

Director Of Visualization And Infrastructure

Bengaluru, Karnataka, India

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Summary

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Senior

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Top School

Karthik Krishnan is a seasoned technology leader with 21 years of experience building AI-driven medical imaging and visualization platforms, currently directing Visualization and Infrastructure at Elucid from Bengaluru. He combines deep research credentials—over 40 publications and multiple global patents—with hands-on engineering, having incubated teams from the second hire through to cross-continental director roles. His work spans real-time visualization, GPU computing, computational geometry and deep learning, applied to clinical products like cardiac CT advanced visualization, FFRct and ultrasound anatomy localization. An active contributor to foundational open-source toolkits (notably ITK), he bridges academic rigor and product delivery, turning novel algorithms into regulatory-ready clinical software. Colleagues know him for shipping zero-click automation and intuitive analyst/physician workflows while maintaining a strong IP and publication record.

21 years of coding experience

14 years of employment as a software developer

BITS Pilani, Birla Institute of Technology and Science

The University of Arizona

Bishop Cotton Boys' School

Github Skills (8)

image-analysis10

c-language10

cprogramming-language10

image-processing10

maths9

math9

algorithm9

algorithms9

Programming languages (3)

C++CTeX

Github contributions (5)

InsightSoftwareConsortium/ITK

Dec 2004 - Jul 2010

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Role in this project:

Back-end Developer

Contributions:647 commits in 5 years 7 months

Contributions summary:Karthik primarily contributes to the implementation of image processing algorithms. The user added a class for nearest neighbor interpolation of vector data, including the implementation of the class and an example of nearest neighbor interpolation of vector data. The user also performed code corrections and added command line arguments for automatic generation of figures for the software guide. The contributions focus on extending the capabilities of the library with image processing functionalities.

pythonitkcomputer-visionopen-sciencescientific

InsightSoftwareConsortium/LesionSizingToolkit

Oct 2008 - Mar 2012

A module for the Insight Toolkit (ITK) that provides a generic, modular, and extensible architecture for lesion sizing algorithms in medical images as well as a reference algorithm for lung solid lesion segmentation in CT images.

Contributions:126 commits in 3 years 5 months

ct-imagesmedicallesion-segmentationcomputed-tomographyitk

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