Grant Eden
Founding Staff Engineer at IP Copilot
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolGrant Eden is a founding staff engineer and technical leader based in Amsterdam with six years of experience building full-stack systems, mentoring teams, and shipping features used by millions. He has deep hands-on expertise in mobile Android engineering, backend development, and ML-enabled data tooling—having open-sourced Capital One’s DataProfiler and implemented TensorFlow-based data labelers. At IP Copilot he’s driven architecture and product features to discover, strengthen, and manage intellectual property, blending startup grit with enterprise-scale delivery from his Capital One tenure. His work balances rigorous testing and automation (notably contributor patches and test refactors in DataProfiler) with product-minded design, and he holds both bachelor’s and master’s degrees from Penn State in engineering disciplines. A practical inventor as well as engineer, Grant has contributed to dozens of patents and repeatedly moves ML prototypes into production-grade systems.
6 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at Penn State University
Github Skills (7)
pytest10
python10
testing10
pandas8
data-analysis8
data-science7
machine-learning7
Programming languages (1)
Github contributions (5)
capitalone/DataProfiler
Feb 2021 - Jul 2021
What's in your data? Extract schema, statistics and entities from datasets
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:1 release, 399 reviews, 56 commits in 5 months
Contributions summary:Grant's commits primarily focus on modifying and testing Python code within the `dataprofiler` project. They made changes to various test files, including those for data processing, profilers, and data labelers. The commits demonstrate an understanding of unit testing and integration testing, as well as the ability to refactor existing code. The changes involved patching and mocking functions, indicating a focus on testing the behavior of different components.
csvpythondatanpistatistics
gme5078/data-profiler
Feb 2021 - Jul 2021
What's in your data?
Contributions:204 pushes, 48 branches in 5 months
datadata-visualizationdata-science
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