Algolia Experts in Germany

• Manage and coordinate complex, data-driven digital campaigns across multiple platforms (DSPs, Ad Servers, DCO).
• Collaborate with cross-functional teams, clients, and external partners to ensure seamless campaign execution.
• Develop and implement quality standards to improve operational efficiency and campaign performance.
• Analyze client requirements and translate them into strategic campaign concepts and operational roadmaps.
• Advise and enable internal teams and clients on digital marketing and campaign management best practices.
• Oversee end-to-end campaign delivery, including planning, execution, monitoring, and optimization.

Re-platforming an e-commerce shop to a microservice architecture

• Goal: Replace an outdated Shopware system with a scalable, future-proof solution based on microservices and a headless architecture.
• Led a full architecture consulting process and defined the microservice boundaries based on a headless architecture with commercetools as PIM/OMS and Next.js as the frontend solution.
• Developed and integrated several decentralized services (e.g. internationalization, personalization).
• Took over the configuration of central third-party systems such as Contentstack and Algolia.
• Built a stable cloud infrastructure on Google Cloud with monitoring via Grafana.

Technologies: commercetools, Next.js, Contentstack, Algolia, Google Cloud, Grafana, TypeScript, Shopware

Development of an international e-commerce platform

• Goal: Build a high-performance, user-friendly and international e-commerce platform.
• Defined a scalable, high-performance and maintainable software architecture that served as the foundation for the platform's international expansion.
• Selected a best-of-breed technology stack that enabled the development of an industry-leading shop and reduced development effort for new features by 30%.
• Ensured seamless integration of critical third-party systems (PIM, CRM, ERP) to guarantee end-to-end business processes and a consistent data foundation.
• Implemented comprehensive tracking and analytics tools for continuous performance monitoring and optimization of the customer journey.

Technologies: React.js, Next.js, commerceTools, Algolia, Salesforce, Heroku, CI/CD, PHP, Google Analytics

AI-powered personalization and customer data platform in e-commerce

• Goal: Replace static content with a dynamic, AI-based personalization strategy to increase user relevance and automate marketing processes.
• Designed and built a customer data platform to aggregate and combine customer and analytics data from distributed sources.
• Implemented automated categorization of customer profiles as the basis for delivering personalized content and product recommendations in the Shopware frontend.
• Developed a semantic similarity algorithm based on Python and OpenAI to calculate product and content similarity from user profiles.
• Built the technical connection to retail media platforms to control external ad placements along the customer journey.

Technologies: Shopware 6, Python 3, OpenAI, Elasticsearch, PHP, Symfony, Twig

Shopware tracking & consent architecture (GDPR) for 4 online shops

• Goal: Build a unified, GDPR-compliant tracking infrastructure across multiple shops with central consent management across several Shopware instances.
• Defined a comprehensive tracking guide and developed a modular architecture compatible across multiple Shopware versions.
• GDPR-compliant integration of Usercentrics and Adobe Launch through a central tag manager.
• Full tracking setup (page, order, product, user) incl. partner-specific tracking (Emarsys, Channelpilot, etc.).
• Detailed event and error tracking to proactively identify technical drop-offs.

Technologies: Shopware, Adobe Analytics, Usercentrics, Tag Manager, PHP, MySQL, GDPR

AI/LLM search engine with RAG and hybrid search (Python, Elasticsearch)

• Goal: Build an AI-powered search engine with RAG architecture and hybrid search to accurately match service providers from over 500,000 company records.
• Developed an automated data pipeline (web scraping + LLM) that continuously crawls company data and converts it into structured formats using LLMs.
• Implemented a RAG workflow incl. vectorization for semantic search to increase search accuracy and relevance.
• Configured and fine-tuned Elasticsearch for hybrid search (vector + keyword search).
• End-to-end development of backend API, frontend and deployment on live servers.

Technologies: Python, FastAPI, Elasticsearch, LLM, RAG, React, Docker, Web Scraping

AI/computer vision system (Python, ML) – object detection under difficult conditions

• Goal: Develop an AI-powered recognition system with reliable performance even in rain, fog, snow and darkness.
• Built and annotated a large training dataset incl. difficult conditions.
• Trained a YOLO-based object detection model; carried out systematic error analysis and improved data quality and preprocessing.
• Coordinated with stakeholders through regular status updates.

Technologies: Python, Machine Learning, TensorFlow, PyTorch, YOLO, OpenCV

• Responsible for further developing the web shop with focus on stability, security, and scalability
• Support the business in creating and evaluating requirements
• Technology: SAP Commerce Cloud, Adobe Experience Manager CMS (AEM), Solr Search, Adyen Payment Service Provider
• Tools: Confluence, Jira, Miro, ServiceNow

The combined experience from recent project years shows that two hearts beat in my chest: on the one hand, working in and for organizations to develop new, innovative products, ideally as part of a digitization strategy or business development – and the closely related change and transformation process expertise as part of holistic organizational consulting. For this, I have established the Change Bakery and Product Validators offerings.

On the other hand, my heart and mind are fired up to find my own products, evaluate markets and potentials, and test ideas. Currently, I am proactively and part-time, in addition to ongoing projects, working on a product idea in the mental health area and have founded Therapymate.

• Backend development of B2B e-commerce solution using SAP Commerce Cloud, leveraging Java and Spring Framework with creation of REST APIs for effective communication.
• Resolved software defects, developed automated cron jobs and triggers, and authored unit tests with JUnit to uphold code stability and quality standards.
• Utilized Git-based version control systems (Bitbucket/GitHub) for source code management and used Jenkins to support continuous integration and development (CI/CD).
• Executed and closed multiple user stories and tickets across iterative bi-weekly sprints under Agile (SCRUM) methodology.
• Led incident resolution in the production environment and minimized downtime through real-time monitoring (Solr, SAP CCv2, OpenSearch Dashboards) and sustaining SLA targets above 99%.

• Integration of SAP Commerce Cloud with SAP Cloud for Customer
• Creation and execution of unit and integration tests
• Error analysis and bug fixing

• Implemented asynchronous communication with Kafka Streams to update user and group data in microservices
• Conducted load and performance tests with JMeter to ensure system stability
• Migrated microservices to current versions of Spring Boot libraries for better maintainability and security
• Optimized Hibernate queries to improve database efficiency
• Deployed new microservices on AWS infrastructure using Kubernetes for scalability and fault tolerance
• Created OpenSearch dashboards to monitor and analyze system metrics
• Integrated Azure Entra user accounts via SCIM by implementing all necessary REST endpoints
• Improved response times through asynchronous processing in separate threads for better performance
• Enhanced Android device logging capabilities for easier troubleshooting
• Refactored database schema with Flyway for consistent and traceable migrations
• Updated AWS Cognito user settings to optimize user management
• Offloaded resource-intensive tasks from the main microservice into separate Docker containers to boost performance
• Used technologies: Java, JavaScript, Kotlin, Angular, Maven, Spring Boot, Spring Security, JUnit, Tomcat, Spring Data, Spring Cloud, Hibernate, Jackson, microservices, Docker, Kubernetes, OpenSearch, Grafana, OpenAPI, SonarQube, PostgreSQL, MySQL, JMeter, Kafka, Flyway, AWS, Azure, Jira, Confluence, Agile, Scrum, SAFe

• Two-month modernization of the management UI for AI-powered cameras
• Rewrote a complex React application to Vue 3 with single file components
• Set up the core architecture of the Vue application and configured Vite, Pinia, Router, I18n, ESLint, and Prettier
• Custom integration of Leaflet to display detection zones on images
• Assisted with backend extension and authentication adjustments

• Project Goal: Relaunch of online shop (migration to Shopify & SAP integration)
• Managing developers & designers
• Involving relevant (customer) departments & stakeholders
• Gathering requirements for the online shop implementation
• Overseeing implementation and feature delivery
• Project controlling regarding timeline and budget
• Reviewing and tracking milestones and work packages
• Regular project reports and project progress meetings

• Development of the ginlo Messenger client, emphasizing stringent data protection compliance as mandated by German legislation.