Nicolas Känzig
Staff Machine Learning Engineer at kaiko.ai
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolNicolas Känzig is a Staff Machine Learning Engineer based in Zurich with 8 years of cross-industry experience building ML-driven products from lab prototypes to production. He currently leads development of Kaiko.ai’s Data & AI platform that equips hospital physicians with advanced AI tools for cancer research, blending clinical impact with scalable engineering. His background spans healthtech, e-commerce, venture capital, electronics, aviation and education, giving him strong domain adaptability and a knack for translating research into practical systems. Trained at ETH Zürich in electrical engineering, he pairs hardware-aware thinking (FPGA and embedded experience) with applied ML, a combination that helps him optimize end-to-end data and model pipelines. Previously he supported early-stage startups at AI Fund and built customer-facing ML platforms at Rappi, demonstrating both product-focus and prototyping velocity.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Electrical Engineering and Information Technology, Master of Science - MS Electrical Engineering and Information Technology at ETH Zürich
German, English, Spanish, French
Github Skills (69)
foundation-models10
evaluation-framework10
machine-learning10
segmentation10
radiology10
image-processing9
python9
deep-learning9
pytorch9
imaging9
data-science9
image-segmentation9
image-augmentation9
object-detection8
asp-net8
Programming languages (7)
Github contributions (5)
kaiko-ai/eva
Mar 2024 - Mar 2026
Evaluation framework for oncology foundation models (FMs)
Contributions:8 releases, 430 reviews, 281 PRs in 2 years
evaluation-frameworkfoundation-modelsoncologymachine-learningradiology
nkaenzig/ANN-SNN-Object-Recognition
Jan 2019 - Jan 2020
Contributions:5 commits, 4 pushes, 1 branch in 1 year
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