Rok Roškar
Head Of Engineering at Swiss Data Science Center
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolRok Roškar is a Head of Engineering with 15 years of experience building tools and infrastructure for reproducible data science, currently leading the team behind Renku at the Swiss Data Science Center in Zurich. He combines a strong research background—a PhD in Astrophysics and postdoctoral work analyzing complex simulation data—with hands-on expertise in big data platforms like Apache Spark and centralized computational infrastructure. Rok has a track record of translating scientific workflows into production-ready, shareable pipelines and training scientists to use distributed analytics effectively. Practical and strategic, he steers product and engineering decisions to make data science repeatable and auditable across organizations. An understated strength is his capacity to bridge academic research needs with engineering pragmatism, having moved from galaxy-formation analysis to steering a major open science platform.
15 years of coding experience
4 years of employment as a software developer
PhD, Astrophysics, PhD, Astrophysics at University of Washingtoncairo american collegeBA, Physics, BA, Physics at Washington University in St. Louis
Slovenian, English, Serbian, German, Spanish
Github Skills (195)
notebook10
restructuredtext10
glance10
python10
hpc-cluster10
ipython10
swagger10
oas10
rest-api10
openapi10
collaboration10
markdown10
swagger-ui10
knowledge-graph10
rest10
Programming languages (22)
Github contributions (5)
rokroskar/sparkhpc
Nov 2014 - Jun 2017
launching and controlling spark on hpc clusters
Contributions:6 releases, 136 commits, 9 PRs in 2 years 7 months
hpc-clustersparkpythonlsfslurm
rokroskar/renku
Sep 2017 - Oct 2018
RENGA (連歌) is a highly-scalable & secure open software platform designed to foster multidisciplinary data (science) collaboration across mutually untrusted academic and industrial institutions.
Contributions:2 PRs, 216 pushes, 96 branches in 1 year 1 month
securescalablepythonsciencedata-science
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