Sreenath Kyathanahally
AI Innovation Leader
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolSreenath Kyathanahally is an AI innovation leader based in Zurich with nine years of experience turning advanced machine learning research into deployable products across healthcare, environmental science, and industrial imaging. He holds a PhD in Biomedical Engineering and has a strong track record building deep learning systems—from spinal cord lesion segmentation and medical CT imaging to plankton classification and seed quality inspection—emphasizing modular, production-ready code. At Inter IKEA Group he now steers AI projects to align technical excellence with organizational values, after senior roles delivering practical computer vision solutions at startups and research institutes. Notably, his academic work reduced expert segmentation time from ~20 minutes to ~3 minutes per subject, reflecting a focus on measurable clinical impact. He combines cross-disciplinary collaboration with continual exploration of emerging AI methods, bridging research prototypes and scalable enterprise deployments.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at University of BernMaster's degree, Electrical and computer engineering, Master's degree, Electrical and computer engineering at Auburn University
Github Skills (20)
mri8
prediction-model8
medical-imaging6
python-bindings6
digital-pathology6
bids6
lime6
python6
classification6
normalization6
neuroimaging5
computed-tomography5
machine-learning4
deep-learning4
bert3
Programming languages (2)
Github contributions (5)
mbaityje/plankifier
Sep 2020 - Mar 2022
Code for plankton dataset creation and classification
Contributions:7 releases, 12 commits, 8 PRs in 1 year 6 months
limepythondeep-learningdatasetplankton
sct-pipeline/deepseg-training
Sep 2018 - Sep 2018
Contributions:81 commits, 69 pushes in 6 days
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