Raphael Emberger
Development Engineer Deep Learning at Rheinmetall Air Defence AG
Dietlikon, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolRaphael Emberger is a Development Engineer in Deep Learning with nine years of experience applying AI across computer vision, NLP, and reinforcement learning domains. He combines academic rigor—MSc in Data Science and multiple peer-reviewed papers—with hands-on engineering, having built MLOps monitoring tools and integrated models into production software like Audiveris. His research has produced practical innovations such as ScoreAug for music object recognition and a feature augmentation method that earned a best-paper nomination for privacy-preserving video object detection in ICU settings. Comfortable switching between low-level system work and cutting-edge ML research, he has driven projects in mechanical, medical, and creative music generation contexts. Based in Zurich, he brings a rare mix of cross-disciplinary curiosity and production discipline, including maintaining AUR packages to broaden tool accessibility. Colleagues value him for adaptability, practical impact, and a knack for turning research ideas into deployable solutions.
10 years of coding experience
4 years of employment as a software developer
Computer Science, passed, Computer Science, passed at 長岡技術科学大学Master of Science - MS, Data Science, Master of Science - MS, Data Science at ZHAW School of Engineering
German, English, French, Japanese, Swahili
Github Skills (51)
open-source10
java10
ncnn10
omr10
efficientnet10
spoofing9
pytorch9
openvino9
replay9
android9
deep-learning9
git-mirror9
object-detection9
3ds8
crawler8
Programming languages (7)
Github contributions (5)
raember/Youtuber
Oct 2016 - Jul 2017
Contributions:40 commits, 43 pushes, 4 branches in 8 months
raember/s2anet
Feb 2021 - Sep 2023
Official code of the paper "Align Deep Features for Oriented Object Detection"
Contributions:167 pushes, 5 branches in 2 years 7 months
object-detection
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.