Peter Meilstrup
Designer at Velaptic
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPeter Meilstrup is a designer and data scientist with a Ph.D. in neurobiology and 14 years of experience applying experimental psychology and visual perception expertise to real-world products and metrics. He blends rigorous measurement and reproducible data analysis with hands-on software engineering across embedded systems, medical devices, and big-data platforms, having driven quality improvements and test automation (including notable QA work on the widely used plyr R package). At Microsoft he improved classification accuracy through bias-aware sampling and modernized legacy metrics with automated tests; as a founder he designed cost-optimized hardware accessories using FEA and tactile feedback testing. Comfortable from kernel modules to cloud-backed analytics, he emphasizes test-driven development, refactoring, and auditability. Based in Seattle, he reliably turns complex perceptual problems into practical, verifiable solutions that bridge research and product.
14 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neurobiology and Behavior, Doctor of Philosophy (Ph.D.), Neurobiology and Behavior at University of WashingtonCalifornia Institute of Technology
Github Skills (10)
data-manipulation10
r10
testing10
parallel-arrays9
typed-array9
multidimensional-arrays9
data-structure9
arrayobject9
dynamic-array9
data-structures9
Programming languages (9)
Github contributions (5)
hadley/plyr
Sep 2012 - Feb 2014
A R package for splitting, applying and combining large problems into simpler problems
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:38 commits, 1 comment in 1 year 5 months
Contributions summary:Peter primarily focused on writing and improving tests for the `plyr` R package. Their contributions involved adding new test cases, particularly for the `idata.frame` and `rbind.fill` functions, and ensuring the package's functionality, especially with regard to zero-row dataframes and multi-dimensional arrays. The commits demonstrate a focus on comprehensive testing to validate data manipulation and transformation operations within the package. These changes aim to improve the reliability and robustness of the package.
r-packageproblemssplitting
crowding/psychophysics
Aug 2012 - Oct 2014
Contributions:23 commits in 2 years 1 month
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