Lukas Rump - Applied AI Engineer at Shopware

Lukas Rump

Applied AI Engineer at Shopware

Heek, North Rhine-Westphalia, Germany

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Summary

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Rockstar

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Top School

Lukas Rump is an Applied AI Engineer with seven years of software engineering experience, currently at Shopware in Germany. He transitioned from backend development to AI-focused work after contributing substantial rule validation and data-type handling improvements to the popular Shopware 6 open commerce platform. Lukas combines a practical engineering mindset—shaped by hands-on roles in core e-commerce logic—with graduate-level studies in computer science (MSc, FH Münster). Comfortable across Symfony-based backends and data-driven features, he often focuses on making complex business rules robust and maintainable. Colleagues know him for quietly improving administrative tooling that powers extensible community ecosystems.

7 years of coding experience

8 years of employment as a software developer

Ausbildung Fachinformatiker für Anwendungsentwicklung, Ausbildung Fachinformatiker für Anwendungsentwicklung at Ludwig-Erhard-Berufskolleg Münster

Master of Science - MS Informatik, Master of Science - MS Informatik at FH Münster

Github Skills (11)

php10

develop10

shopware10

backend10

symfony10

symfony-ux10

api-design9

api9

apim9

vue-jsx7

Programming languages (7)

TypeScriptRustVueJavaScriptPHPMermaidPython

Github contributions (5)

shopware/shopware

Nov 2018 - Dec 2022

Shopware 6 is an open commerce platform based on Symfony Framework and Vue and supported by a worldwide community and more than 1.500 community extensions

Role in this project:

Back-end Developer

Contributions:4 reviews, 54 commits, 6 PRs in 4 years 1 month

Contributions summary:Lukas primarily contributed to the Shopware 6 platform by implementing and modifying backend functionalities related to rule validation, rule condition management, and data type handling. They added features like a rule validator, refined the design of rule components, and fixed data type handling in product stream filters. These changes suggest a focus on improving the core logic and administration features of the e-commerce platform.

ecommerceshopwareapifirstshopping-cartvue

lukasrump/crllm

Oct 2024 - Nov 2024

A command-line tool for developers to get instant code reviews from state-of-the-art Large Language Models (LLMs). Supports both local models (Ollama) and cloud providers (OpenAI, Hugging Face, Azure). Improve code quality, catch bugs, and receive AI-driven feedback effortlessly.

Contributions:5 releases, 34 PRs, 26 pushes in 1 month

aicode-qualitycode-reviewslangchainllm

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