Malte Ebner
Senior ML Data Engineer
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolMalte Ebner is a Senior ML Data Engineer based in Zurich with nine years of experience building large-scale data pipelines and dataset infrastructure for machine learning applications. He has advanced from internships and cooperative study roles at Bosch and VAY to shaping ML data tooling at Lightly, where he progressed from ML Data Engineer to Senior ML Data Engineer. Malte blends back-end engineering with practical dataset work—contributing to the open-source lightly library by improving docs, adding features like timestamped video-frame downloads, S3 support and CLI integrations. His background in mechatronics, robotics and communications engineering (DHBW Stuttgart, University of Stuttgart, ETH Zürich) gives him a systems-level perspective on data, models and production concerns. Colleagues describe him as detail-oriented and documentation-minded, regularly turning subtle bugs and UX rough edges into reliable developer-facing features.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering at DHBW StuttgartETH ZürichMaster of Science - MS, Electrical, Electronics and Communications Engineering, Master of Science - MS, Electrical, Electronics and Communications Engineering at University of Stuttgart
Stackoverflow
21reputation
2kreached
4answers
2questions
Github Skills (16)
python10
documentation10
data-processing9
video-processing9
api8
apidoc8
aws-s37
dockers7
docker7
image6
image-processing6
deep-learning6
ffmpeg6
plugin6
intellij-idea6
Programming languages (11)
Github contributions (5)
lightly-ai/lightly
Jan 2021 - Jan 2023
A python library for self-supervised learning on images.
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:35 releases, 878 reviews, 188 commits in 2 years
Contributions summary:Malte's contributions primarily focused on improving the project's documentation, correcting typos, and adding install instructions. They implemented features such as the ability to download video frames based on timestamps. The user also made several bug fixes and implemented features to support the Lightly CLI tool and S3 data-source. The user also performed minor code refactoring.
pytorchpython-librarysupervised-learningpythonsupervised
MalteEbner/Learning-active-learning-with-ensembles-of-active-learning-agents
Oct 2020 - Dec 2024
Contributions:3 PRs, 20 pushes, 2 branches in 4 years 2 months
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