Raphael 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
Short python script to win mathbattle (Telegram gaming bot: https://telegram.org/blog/games)
Contributions:11 commits, 3 PRs, 10 pushes in 4 years 6 months
telegram-botorg-blogpythongamesgaming-bot
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