Guido Zuidhof
Mede-oprichter at Friendly Captcha
Netherlands
Summary
🤩
Rockstar🎓
Top SchoolGuido Zuidhof is a co-founder and CTO with 11 years of software engineering experience, currently leading technical direction at Friendly Captcha from the Netherlands. He combines a strong academic foundation in computing science and AI with hands-on product and systems work, having contributed to production self-driving efforts at Lyft and its acquisition of Blue Vision Labs. Guido is equally comfortable in front-end UX polish—authoring responsive UI improvements for an in-browser notebook—and in deep ML tooling, fixing model-conversion bugs in the widely used MMdnn project. Pragmatic and detail-oriented, he favors solutions that “just work,” bridging research-grade algorithms and reliable, user-facing products.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MSc Computing Science, Master of Science - MSc Computing Science at Radboud UniversityVWO, VWO at Augustinianum
Dutch, English, German, French
Github Skills (19)
pytorch10
deconvolution10
javascript10
caffe10
python10
convert10
converter10
css10
user-interface10
keras10
tensorflow10
model-conversion10
onnx9
responsive-design9
html9
Programming languages (15)
Github contributions (5)
gzuidhof/starboard-notebook
Jul 2020 - Jun 2022
In-browser literate notebooks
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1 release, 23 reviews, 253 commits in 1 year 10 months
Contributions summary:Guido's contributions primarily focused on the development of the user interface within the "starboard-notebook" repository, which is described as an in-browser literate notebook. The user implemented a CSS stylesheet, made layout and visual style changes for various screen sizes, added code editor customizations, updated the project dependencies, and fixed issues to enhance user experience. The changes demonstrate a clear focus on improving the front-end presentation and usability of the application.
literate-programmingbrowsernotebookstarboardnotebooks
microsoft/MMdnn
Jan 2018 - Jan 2018
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Role in this project:ML Engineer
ML EngineerContributions:15 commits, 1 PR, 1 comment in 1 day
Contributions summary:Guido primarily contributed to the model conversion and related infrastructure within the MMDNN project. They addressed several critical areas, including fixing broadcasting issues, calculating shapes for deconvolution layers, and supporting dilation in the conversion process. Additionally, the user made improvements to the Keras emitter, including handling deconvolution and dilation, which indicates a focus on model conversion functionality between different deep learning frameworks. Their work involved modifications across multiple modules, including caffe conversion tools and the Keras emitter.
caffe2intertensorflowmodel-conversionoperate
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