Robert De Vries
Senior Software Engineer at DEMCON
Delft, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolRobert De Vries is a Senior Software Engineer with 11+ years in advanced machine control and a multi-decade track record in real-time and embedded systems design. He has driven system architecture, implementation and test for wafer stage control and real-time platforms, delivering embedded ARM and AVR firmware and production-grade CI/CD pipelines. Known for a pragmatic focus on automated testing and code coverage, he has also taught advanced Python internally, sharing best practices across teams. His open-source contributions to pandas emphasize reliability—fixing critical bugs, preventing segfaults and adding regression tests—highlighting a bias toward robustness in data-processing code. Based in Delft, he blends deep applied-physics training from TU Delft with hands-on engineering across aerospace, semiconductor and optical industries. Colleagues rely on him for steady, test-driven delivery of complex, safety- and precision-critical systems.
11 years of coding experience
28 years of employment as a software developer
VWO, VWO, VWO, VWO at Bouwens van der BoyecollegeTU Delft
English, German, Dutch, French, Spanish
Stackoverflow
1reputation
127reached
0answers
1question
Github Skills (11)
testing10
pandas10
debug10
python10
data-analysis10
data-science9
text-alignment8
text-align8
binance6
alerts6
pinescript6
Programming languages (4)
Github contributions (5)
pandas-dev/pandas
Mar 2020 - Jun 2022
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:14 reviews, 18 commits, 21 PRs in 2 years 4 months
Contributions summary:Robert primarily focused on bug fixes and ensuring the stability of the pandas library. Their contributions addressed critical issues, including overflow problems in the Timedelta constructor, conversion failures, and segmentation faults within the CSV tokenizer and JSON serialization. They also improved the codebase by fixing file descriptor leaks and adding regression tests, emphasizing a focus on code quality and reliability.
pythondatalabeled-datamanipulationdataframes
roberthdevries/pandas
Mar 2020 - Jan 2023
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:230 pushes, 40 branches in 2 years 11 months
polarspythondatalabeled-datamanipulation
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