AI Agents Experts in Cologne

• SPA for automated communication of medical findings with role-based access (Sanctum)
• Server-side LLM integration (OpenRouter) with structured processing
• Automated sending via SMS/voice call (Twilio, ElevenLabs) with queue + status retry
• Full test coverage with 80+ documented test cases

Technologies: PHP, Laravel, LLM API (OpenRouter), Twilio, ElevenLabs, Laravel Sanctum, PHPUnit, Playwright, Docker, REST

• Building an AI-native coaching platform for cyclists: a conversational Dynamic Coach that turns training and recovery data into the next session decision, available daily instead of a static calendar.

• Designed and shipped a full-stack, chat-first coaching experience on Next.js and the Vercel Edge Network, with agentic workflows that adapt plans in real time to readiness, load, and life constraints.

• Built integrations with Garmin, Strava, Whoop, and intervals.icu so sleep, HRV, and ride data feed coaching recommendations without manual data entry.

• Product thesis: make high-quality coaching principles accessible at scale by combining adaptive training logic with plain-language conversation, not another metrics dashboard.

• Leading initiatives to improve the retrieval and representation of Samsung support content in AI-generated answers, including authoring editorial standards and educating stakeholders on representation risk.
• Developing initial frameworks to measure and evaluate brand representation in AI-generated answers (LLMs, Google AI environments), including prompt baselines and scoring models.

• Led the global HRIS transformation program (16 country units): program setup, PMO, phase planning, status reporting, and steering up to partner/SteerCo level
• Built an HR readiness assessment framework (6 dimensions, weighted scoring) as a decision basis for implementation and AI maturity — mandated by the board as the project outcome
• HR process architecture: analysis of 80+ level-3 processes and 87 ISO process documentations across 13 country clusters; gap analysis and harmonization roadmap
• Designed agentic AI HR processes (hiring, onboarding, probation period management) on SAP S/4HANA Private Cloud and ServiceNow — human-in-the-loop design, process screening for agentic potential, decision paper at partner level
• HRIS market analysis: vendor screening, criteria framework, and evaluation logic for system selection
• HR target operating model: organizational analysis, archetype framework (9 dimensions), governance design for a global HR function
• Self-assessment tools and workshop formats for 16 country HR teams incl. nomination and stakeholder management; SharePoint project hub and communication architecture
• AI-supported consulting delivery: my own Claude-based working model for analysis, document creation, and project management — one consultant delivering program output

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

PFS-Matching-App

• Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
• Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
• Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes

• Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
• Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
• Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
• Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
• Requirements management and test coordination when implementing clinical requirements in complex IT structures.

• Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
• Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
• Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
• Developed graph-based representations of product structures and dependencies for analytical reasoning.
• Designed and implemented an agentic AI framework for AI-supported decision workflows.
• Built scalable analytical microservices and integrated reporting through modern BI technologies.
• Coordinated backend, AI, and frontend development across the MYNR platform stack.

• Delivered ML pipelines for OCR, semantic search, and computer vision
• Integrated Azure AI Agents and GPT workflows for automation and QA
• Deployed cloud-based FastAPI services with scalable architecture
• Created integration docs and advised on LLM production readiness

• Led a team of junior Research Engineers, providing mentorship, technical guidance, and career development support to foster their growth in deep learning and machine learning engineering.

• Building a company-wide grassroots movement with over 500 employees around digital responsibility topics, tech ethics, and a human-centered focus
• Connecting top-down initiatives from innovation, corporate responsibility, and compliance with engaged employees
• Organizing flagship events like barcamps, dialogue formats, workshops, and discussion series
• Promoting ethical reflection, diversity, and societal perspectives in innovation and decision-making processes

• Acted as the primary bridge between Legal, Engineering, and Business units to ensure zero compliance violations while maintaining product velocity.

• Led the development of a GDPR-compliant AI aggregator platform, managing a roadmap that balances legal constraints with aggressive feature delivery.

• Scaled the engineering team from 4 to 9 developers, establishing hiring protocols and technical onboarding processes to support rapid product iteration.

• Boosted the development process by introducing structured sprint cycles and backlog refinement, resulting in a 20% reduction in feature delivery time.

• Architected and prototyped agentic AI workflows with n8n and RAG pipelines on Langchain.