Raphael Wirth
Software Engineer at ELEGEN
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRaphael Wirth is a software engineer with 11 years of experience in computer vision and robotics, currently building production systems at ELEGEN from his base in San Francisco. He has led transitions from proprietary ML toolchains to PyTorch, introduced semi-supervised Vision Transformer approaches, and implemented dataset visualization and evaluation platforms to speed model iteration and reduce labeling costs. At Dexterity he shipped multi-site robotic vision systems, contributed to patents, and created data collection and labeling toolchains that materially improved deployment velocity. Raphael blends applied research—GAN-based superresolution and model calibration—with pragmatic engineering such as asynchronous data pipelines and benchmarked deployment practices. Colleagues describe him as a detail-oriented collaborator who deliberately focuses training and tooling efforts on high-impact labels to cut training time and operational cost.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Karlsruhe Institute of Technology (KIT)Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Duale Hochschule Baden-Württemberg (DHBW) Karlsruhe
Stackoverflow
153reputation
56kreached
12answers
2questions
Github Skills (200)
language-model10
python10
certification10
to-do10
deserialization10
chat10
deep-learning10
javascript10
robotics10
autobahn10
chatgpt10
harness10
agent-framework10
audio10
api10
Programming languages (19)
Github contributions (5)
bundesAPI/pegel-online-api
Mar 2022 - Sep 2022
Pegelstände der Messstellen des bundesweiten Messstellennetzes der Wasserstraßen- und Schifffahrtsverwaltung des Bundes.
Contributions:2 reviews, 12 commits, 6 PRs in 6 months
wirthual/garageoPIner-server
Nov 2014 - Jan 2022
Contributions:10 commits, 21 pushes, 1 branch in 7 years 2 months
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