Paul Groß is a software developer and PhD student specializing in databases and big data engineering, currently interning on database systems at AWS while researching at Centrum Wiskunde & Informatica. He combines rigorous academic training with hands-on product experience, having implemented performance-focused features in DuckDB during his master’s thesis and worked on GIS and cloud migration projects at Airbus. As a founder and CTO-level operator, he builds mobile apps at Philomatech and co-founded a generative-AI-for-architecture startup, demonstrating an unusual blend of entrepreneurship and deep technical focus. Past stints at NASA and large-scale cloud teams sharpened his ability to collaborate across time zones and disciplines on data-intensive systems. Based in Amsterdam, he brings 30 years of life experience—melding mathematical curiosity, systems-level thinking, and interest in the political-social impact of technology—to database research and production engineering.
30 years of coding experience
6 years of employment as a software developer
Bachelor's degree Informatik, Bachelor's degree Informatik at Baden-Wuerttemberg Cooperative State University (DHBW)
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Ulm University
Master's programme (joint degree) at VU Amsterdam & University of Amsterdam Computer Science - Big Data Engineering, Master's programme (joint degree) at VU Amsterdam & University of Amsterdam Computer Science - Big Data Engineering at University of Amsterdam
The implementation of the Rascal meta-programming language (including interpreter, type checker, parser generator, compiler and JVM based run-time system)
Contributions:4 reviews, 6637 commits, 3 PRs in 14 years 3 months
Contributions:61 pushes, 3 branches, 1 comment in 2 years 6 months
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