Ralf Engbers
Product Engineer at MATTR
Wellington, Wellington, New Zealand
Summary
👤
Senior🎓
Top SchoolRalf Engbers is a Product Engineer in Wellington with a decade of experience bridging mathematical rigor and pragmatic software delivery. Trained as a mathematician (Diploma, PhD), he has moved from academic research in medical imaging to full‑stack and product roles, shipping JVM/Kotlin backends and React/TypeScript frontends for industrial data platforms before joining MATTR. He contributes to open source—helping improve string handling and LLVM integer comparisons in the fast, friendly Roc language—reflecting a comfort working on low‑level language/runtime issues as well as application features. Known for abstract problem solving and clear, honest communication, he excels at identifying core user problems and translating them into implementable solutions. He deliberately seeks tasks he hasn’t done before and thrives on learning new languages and paradigms, from Haskell and Elm to Python and Kotlin.
10 years of coding experience
12 years of employment as a software developer
Diploma, Mathematics, Diploma, Mathematics at University of Münster
English, German, Spanish, French, Italian, Portuguese
Github Skills (11)
text-manipulation10
unit-testing10
functional-programming10
rust10
strings10
roc-lang10
new-language9
llvm9
lang9
develop9
language-design9
Programming languages (4)
Github contributions (5)
roc-lang/roc
Jul 2022 - Aug 2022
A fast, friendly, functional language.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:12 commits, 3 PRs, 6 comments in 29 days
Contributions summary:Ralf contributed to the Roc language project by implementing and enhancing string manipulation functionalities. They wrote and added several test cases to cover edge cases for string splitting and other string operations. Furthermore, the user addressed a bug related to multiline string formatting in the REPL and also made changes to integer comparisons within the LLVM code generation.
functional-languagefunctional-programmingrustroccompiler
raleng/nmf
May 2016 - Dec 2016
Non-negative matrix factorization using MUR, ANLS, ADMM or AO-ADMM.
Contributions:4 commits, 4 PRs, 9 pushes in 7 months
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