Robert Kaufmann
Manager Software Engineering at Zebra Technologies
New York, United States
Summary
👤
Senior🎓
Top SchoolRobert Kaufmann is a seasoned software engineering leader with nine years of formal experience and a long track record of technical roles spanning Thomson Reuters to Zebra Technologies, where he now manages engineering teams. He combines deep legacy and modern expertise—from XML, XSLT and VBScript to C#, .NET, VC++ and database SQL—with hands-on experience in backend systems and automated test engineering. At Zebra he progressed from Principal Engineer to Manager, blending architecture, delivery leadership and mentoring of junior engineers. His open-source contributions to the widely used ESPResSo package show attention to numerical simulation quality, improving Lattice Boltzmann fluid models and adding rigorous Python-based tests for conservation laws and electrokinetics. Based in New York, he’s known for pragmatic problem-solving that preserves system reliability while modernizing codebases.
9 years of coding experience
SUNY Farmingdale
Github Skills (11)
computational-physics10
python10
scientific-computing10
testing10
nonlinear-dynamics9
molecular-dynamics-simulation9
cprogramming-language9
molecular-simulation9
c-language9
unit-testing9
cuda8
Programming languages (1)
Github contributions (2)
espressomd/espresso
Apr 2017 - Oct 2018
The ESPResSo package
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:39 commits, 6 PRs, 6 comments in 1 year 5 months
Contributions summary:Robert primarily focused on enhancing the Lattice Boltzmann (LB) fluid simulations within the ESPResSo package. Their contributions included fixing and improving the interface for LB boundaries and adding multiple python-based test cases to validate the LB fluid functionality, including mass and momentum conservation, and temperature measurements. They also implemented a test case for the electrokinetics calculations and related electrostatic coupling. The user's work aimed at improving the quality and reliability of LB-related features within ESPResSo, with a significant emphasis on automated testing.
physicssoft-matterpythonmolecular-dynamicsscientific-computing
KunTares/espresso
Apr 2017 - Oct 2018
The ESPResSo package
Contributions:23 pushes, 10 branches in 1 year 5 months
espressoesp32
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