Jeremy Wanner
Machine Learning Researcher at Hilti Group
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolJeremy Wanner is a Machine Learning Researcher based in Zurich with 11 years of engineering experience blending academic rigor and product-focused ML. He has led context-aware recommender work at Porsche—designing a novel dual-transformer architecture that produced patentable IP—and now applies similar research-to-deployment skills at Hilti. His background spans computer vision for 3D point clouds, Active Learning and Explainable AI for AML at ETH AI Center, and mixed-reality data capture with Microsoft, showing fluency across modalities and production stacks. Comfortable across Python, PyTorch, cloud platforms and web back ends, he bridges prototyping and scalable deployment. Trained as a mechanical engineer and roboticist at ETH Zurich, he brings physical-systems intuition to ML problems, often favoring geometry-aware and user-in-the-loop solutions. Colleagues describe him as a researcher who turns complex datasets into practical, patent-worthy systems.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MSc, Mechanical Engineering, Robotics, Systems and Control, Master of Science - MSc, Mechanical Engineering, Robotics, Systems and Control at Eidgenössische Technische Hochschule Zürich
Italian, English, French, German
Github Skills (38)
gtk10
matplotlib9
qt9
tla9
python9
verification9
data-visualization9
security-protocol8
security8
visualization8
data-science8
rfc5
safeguard5
shell5
compile5
Programming languages (12)
Github contributions (5)
joelwanner/theme-boxfish
Mar 2019 - Jul 2022
An simple and elegant fish theme with compact vi mode support
Contributions:3 commits, 3 PRs, 11 pushes in 3 years 4 months
compactfish-themevi-modefish
scion-backbone/config
Mar 2021 - Nov 2021
Configuration for the prototype topology
Contributions:1 review, 1 PR, 13 pushes in 8 months
prototypetopology
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