Felipe Barragan
Senior Software Engineer at Ubicept
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolFelipe Barragan is a Senior Software Engineer with 12 years of experience blending academic research and product engineering in computational imaging and image processing. He earned a PhD and MS in Computer Science from the University of Wisconsin–Madison, where he led hardware and algorithmic work on time-of-flight and single-photon camera systems, authored papers, and helped secure patents and grants. At Ubicept he applies that deep domain expertise to real-world systems, while his prior internships at Light and SenseBrain translated research prototypes into practical imaging pipelines. Felipe is also an open-source contributor to scikit-image, improving documentation for core denoising functions to help practitioners better understand parameter behavior and data conversions. Known for shipping configurable camera builds from off-the-shelf components and for accelerating statistical tools like RapidPT, he combines low-level systems engineering with data-driven optimization to reduce power, bandwidth, and error in time-resolved imaging. Based in Madison, WI, he brings a research-first mindset to product development and technical communication.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science, Applied Math, Engineering and Physics, Bachelor of Science, Applied Math, Engineering and Physics at University of Wisconsin-MadisonCertificates, Certificates at Summer Schools
English, Spanish, French
Github Skills (4)
image-processing10
documentation10
computer-vision10
python5
Programming languages (9)
Github contributions (5)
scikit-image/scikit-image
May 2021 - May 2021
Image processing in Python
Role in this project:
Technical Writer
Technical WriterContributions:2 reviews, 8 commits, 1 PR in 7 days
Contributions summary:Felipe primarily contributed to the documentation within the `scikit-image` repository. Their work involved updating and refining the documentation of the `denoise_bilateral` function. This included clarifying the description of the `sigma_color` parameter, improving the clarity of data type conversions and how images are rescaled, and moving some text to the Notes section. These contributions aimed to improve the overall readability and accuracy of the documentation for users.
image-processingpythoncomputer-visionimage
felipegb94/BaseTest
Nov 2014 - May 2016
Contributions:23 commits, 1 PR, 6 pushes in 1 year 6 months
javascriptreact
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