Rust Experts in Cologne

PLANT-MY-TREE®-per-order

The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.

Tasks:

• Design of the modular software architecture based on Spring Modulith to ensure high maintainability
• Development of the event-driven business logic for evaluating Shopify orders via webhooks
• Implementation of automated invoicing by connecting the weclapp REST API
• Building the frontend using React Router and Shopify App Bridge for native integration
• Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
• Integration of internationalization processes for global use in the frontend and email communication
• Automation of deployment processes using Docker and GitLab CI/CD

Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest

• Full product responsibility from a business perspective: requirement analysis, UX design, product strategy, and go-to-market implemented without an internal dev team using fully AI-supported development (Claude Code / Anthropic)
• Technical differentiation: KRITIS-compliant air-gapped deployment (Windows/NSIS), GDT interface for PVS integration, DATEV-LODAS export for payroll
• Managed pilot operation with initial external client (Dormagen medical practice): structured requirement gathering, test support, error analysis, and release management
• Developed rollout and sales strategy for market entry in the segment of private practices and small medical centers
• Human-in-the-Loop development principle: business decision → AI implementation → manual review → approval → release – each sprint documented in Jira (TIME project), every change traceable via co-authored commits
• Product outcome: Tauri/Rust desktop app with GDT watcher, multi-tier model (Starter/Professional/Enterprise), cloud mirror on Hetzner/Traefik, complete ISMS framework based on ISO 27001 and BSI basic protection as product foundation
• Direct method validation for the test manager role: hands-on experience with quality assurance of AI-generated products from a user perspective, review gate discipline, release approval under GDPR and the EU AI Act

• Serve as AI lead for life-science solutions, integrating advanced AI models directly into company workflows and ensuring seamless deployment.
• Design and implement deep learning architectures (PyTorch, Keras) for complex biomedical challenges, including cell segmentation, multimodal omics analysis, and prediction of point clouds.
• Develop and deploy robust LLM-based systems, including RAG architectures and agentic workflows using LangGraph, to facilitate natural-language interaction with complex medical data.
• Lead cross-functional initiatives to apply foundation models and explainable AI (xAI) to clinical and evolutionary algorithms.

• Development of an app
• Technologies: React Native, Expo, SupaBase, TypeScript, GitHub, Trello