Michael Scheiwiller
Software & Data Engineer
Bern, Bern, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolMichael Scheiwiller is a software and data engineer with six years of experience building data-driven systems at the intersection of sustainability and machine learning. Based in Bern, Switzerland, he blends applied research and product work—from thesis and research roles at BFH to industry positions in energy, finance, and startups like Batterylog, Bank.Green, and bytebricks. He co-founded Leadership Buddy and led OpenClimate.fund at protontypes, demonstrating an entrepreneurial streak alongside hands-on engineering. On GitHub he contributes to notable projects like Kornia, refactoring detector configurations and improving interactive computer-vision demos, showing a knack for making advanced ML tools more usable. Trained in Business Engineering & Data Science (MSc.) and Environmental Engineering (BSc.), he brings domain expertise in energy and sustainability to technical solutions. Colleagues would describe him as pragmatic, curious, and focused on translating sustainability goals into production-ready data systems.
6 years of coding experience
3 years of employment as a software developer
Berufsbildende Schulen BurgdorfBachelor of Science (BSc.), Environmental Engineering, Bachelor of Science (BSc.), Environmental Engineering at ZHAW Zurich University of Applied SciencesMaster of Science (MSc.), Business Engineering & Data Science, Master of Science (MSc.), Business Engineering & Data Science at Berner Fachhochschule BFHMaster of Science (MSc.), Computer Science, Master of Science (MSc.), Computer Science at Instituto Superior TécnicoTechnische Berufsmaturität, Technische Berufsmaturität at Bildungszentrum Langenthal
German, schweizerdeutsch, English, French, Spanish
Stackoverflow
73reputation
940reached
5answers
6questions
Github Skills (20)
pytorch10
artificial-intelligence10
python10
machine-learning10
dataclasses10
deeplearning-ai10
deep-learning10
computer-vision10
dataclass10
data-structure9
documentation9
data-structures9
3d-models6
arrows6
conda6
Programming languages (10)
Github contributions (5)
kornia/kornia
Sep 2022 - Sep 2022
🐍 Geometric Computer Vision Library for Spatial AI
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 1 commit, 7 PRs in 1 day
Contributions summary:Michael primarily focused on refactoring and updating configurations related to the SOLD2 detector within the kornia library. This involved modifying the configuration structure, converting dictionary-based configurations to dataclasses, and unifying these dataclasses. Additionally, the user integrated and updated interactive demos within the documentation, specifically related to image filtering, edge detection, image enhancement, and other computer vision applications, improving user interaction with kornia's features. The contributions span both model configuration and documentation, supporting the usability of Kornia's computer vision tools.
pytorchdifferentiablepythonvisiondeep-learning
lappemic/kornia
Sep 2022 - Aug 2024
Open Source Differentiable Computer Vision Library
Contributions:3 PRs, 35 pushes, 26 branches in 1 year 11 months
pytorchdifferentiablevisiondeep-learningacceleration
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