Order Management System Experts in Germany

• Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
• Defined time-based and dependency-based jobs
• Deployed to managed Kubernetes clusters using Helm
• Integrated InfluxDB Cloud
• Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
• Developed dashboards and visualizations in Grafana
• Developed unit tests with mocking using pytest
• Set up a CI/CD pipeline in GitLab

Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud

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• Goal: Replace an outdated Shopware system with a scalable, future-proof solution based on microservices and a headless architecture.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

• Development of a SaaS application for automated claims handling with AI agents (LLM) as the primary development team
• Design & testing of efficient and secure context management setups in the development process (including multi-sub-agent use, memory systems, caching)
• Definition and implementation of LLMOps pipelines with Azure AI Foundry for AI agents in customer contact (including versioning, logging, audit trail, security tests)
• Infrastructure provisioning via IaC (Bicep), application configuration via GitOps-based CI/CD pipelines (rules engine, workflow engine)
• Development of integrated security architecture designs between AI-based & classic applications with a special focus on regulatory requirements
• Integration of workflow and rules engine in a NestJS service architecture — for automated, rule-based control of claims processes
• Probabilistic extraction and preparation of claims data as the basis for rule-based, deterministic decision logic — traceable, auditable, and regulatorily compliant

• Consulting and implementation of SAP projects as a freelancer
• Analysis, design, customizing, and programming
• Modules: PP, MM, WM, SD, QM, CS, IH, FI/CO, PLM, EH&S
• Development of forms (Smartforms, Adobe Forms)
• ABAP development (Enhancements, BADI, dialogs, reporting, IDocs)
• Project management, subproject management, and training

• Set up an operational contract information system. This is mainly used as an order management system - for migrating existing contracts as well as for creating and providing new contract bundles.

• Sales agents can use it to order new services, modify existing ones and migrate service types, as well as provide price information to the customer.

• This supports the marketing of new services as well as the replacement of old services for existing customers.

• In addition, existing data is imported, processed (ETL) and provided via services for further use in the portal front end.

• Analysis of the business and technical use cases (workflows, involved processes/systems, communication paths, security requirements)

• Further development / creation of the front-end components (React/JavaScript)

• Design and implementation of the business logic

• Creation of the functional and technical component documentation

• Test execution / test automation (Cypress, test coverage)

• Team size: 8 people

• Technologies: React, JavaScript, Rest (JSon), Yaml, Markdown, MariaDB (SQL), Docker, Swagger, Cypress

• Tools: Webstorm, ReactDeveloperTools, VisualStudioCode, Word, DBeaver, Git/GitLab

• Work management: GitLab

• Platform: Linux

• Build management: GitLab

• Project manager for banking projects

• Designing processes for implementing regulatory IT requirements (VAIT, BAIT, DORA, MaGo) and establishing them within the IT organization
• Monitoring the execution of these processes, quality assurance and adaptation to new requirements
• Support and coordination of the annual audit regarding regulatory IT requirements (PwC)
• ITK governance
• Software lifecycle management
• Documentation and control of the IDV development process
• Process support and policy creation when setting up test management with regard to DORA and VAIT
• Policy creation for IAM processes
• Tools/Applications: ServiceNow, Confluence, Jira, M365, Loop, Connect, Omada

• Support for implementing the Pimcore CMS, support assistance, and partner management for the existing application landscape.
• Know-how transfer to the existing application landscape.
• Advising stakeholders on the new implementation.
• Support in data modeling for Pimcore.
• Designing and overseeing data migrations from Salesforce to Pimcore using ESB.
• Creating user stories.
• 3rd level support for business-critical processes.
• Technologies: Salesforce Marketing, Sales, and Service Cloud; Talend ESB; Pimcore; Shopware; ERP system Move; DB2; MySQL; MS Office; MS Visio; Jira; Confluence.

• Configured and automated data extracts from Oracle databases, achieving 100% data accuracy in a critical migration project, significantly reducing manual errors and accelerating the migration timeline.

• Designed and implemented interfaces with Order Management Systems (OMS), enabling seamless and automated data exchange and improving operational efficiency through faster, error-free order processing across business units.

• Developed and deployed data extraction workflows to support regulatory compliance and customer reporting, ensuring timely delivery of key reports, reducing manual effort, and increasing customer satisfaction.

• Project manager controlling the update to ISO 27001:2022 (certification from ISO 27002:2013 to ISO 27002:2022) including gap analysis, project planning, preparation of internal and external audits, and creation and maintenance of required documentation.
• Coordination of adjusting existing measures and implementing new measures according to the new standard’s requirements, as well as continuous monitoring and adjustment of these measures.
• Regular reporting to management on progress and risks.
• Senior consultant supporting audit reviews with a focus on critical infrastructures (KRITIS), including resolving findings, creating and updating evidence documents, and amending provider contracts.
• Senior consultant reviewing all deliverables and responsibilities of the IT provider according to the existing contract: identification of over 1500 deliverables & obligations (D&O), setup of a D&O tracker (claim register), and joint expert review with service owners for various service descriptions (e.g. IT service management, workplace and print services, application and desktop services, endpoint management, email including archiving, file services, software packaging, certification, distribution).
• Senior consultant adjusting service scopes in existing service descriptions to enable end-to-end service responsibility of the provider, including identification and analysis of use cases, process analysis and optimization (incident, problem, change), as well as recording and documenting all software products in LeanIX and documenting the contract change.
• Focused services: managed software service, application and desktop service, workplace and print services, web server service, container service, M365, SAP/Oscare, output management systems (OMS), telephony and omnichannel management service.
• Project manager steering a benchmark based on the existing IT contract, including coordination of the entire benchmark process between the benchmarker, IT provider and client, review of benchmark results, and preparation and conduct of price negotiations with the IT provider.

• Novo Nordisk A/S is a Danish multinational pharmaceutical company headquartered in Bagsværd, Denmark, with manufacturing sites in eight countries and subsidiaries or offices in five more. As part of setting up their largest automated production facility, SAP S/4HANA was implemented. The implementation of S/4HANA EWM plays a crucial role in enabling automation across all business processes.

• Since this is a greenfield project with extensive automation, the goal is to achieve the highest possible level of automation in most business processes. Particularly in pharmaceutical processes, hygiene, accuracy, validation, and error-free execution are essential – all of which are supported by automation. My role as Solution Architect is to understand the business processes and provide efficient automated workflows for high-quality product manufacturing.

• As Solution Architect, I conducted workshops in the warehouse areas to analyze and understand the pharmaceutical business processes and align them with the standard or template structure.

• Identifying and highlighting process gaps and developing suitable solutions.

• Coordinating with third-party vendors and other IT stakeholders to develop optimized automated processes.

• Documenting and reviewing the business process design according to the agreed solution with the business unit.

• Mapping inbound, internal, outbound, and production-integrated processes from the EWM perspective with automation considerations.

• Guiding the team in fully setting up the solution in EWM and supporting the testing activities.

• Member of the central architecture team to share best practices, develop guidelines, and support other implementation teams with solution architecture.

• Supporting the DevOps team in Terraform-managed, multi-region AWS infrastructure to achieve environment parity.
• Developed end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating the build and deployment.
• Maintained pre- and post-deployment scripts to automate critical tasks such as database schema migrations and environment sanity checks.
• Implemented CI/CD flow specifically for hotfixes via separate Git branches, managing back-merge activities from feature branches to release branches to ensure code integrity through automated conflict resolution.
• Deployed a dedicated, lightweight sanity check application hosted cost-effectively on Azure Container Apps to run automated health and basic functional checks as a post-deployment activity triggered via pipeline.
• Investigated production incidents through code changes and AWS CloudWatch logs.
• Coordinated integration of Dynatrace APM and its APIs for monitoring purposes.
• Full stack QA strategist for a high-traffic e-commerce platform built on a layered architecture for the back-end testing of core platform services, especially the order management system in Zed and Glue layers.
• Managed automation activities, testing process, and refactoring practices.
• Responsible for framework migrations, setup, and training for new automation frameworks.
• Promoted a shift-left approach within the QA team and created the test concept.
• Participated in meetings with IT managers, business owners, product owners, and team members.

• Development of multiple websites for small businesses (6)
• SEO/SEM
• Business Consulting (Implementation of ERP systems (Fresha / MS Dynamics))
• AI Tooling, Prompting & Coding
• GenAI Chatbot (GPT 4.0)
• Creation of a telephone agent (NLP services, Twilio, Python, Azure Services)
• Python coding, report & dashboard creation
• Stakeholder management and consulting throughout the project lifecycle

Training and Certifications in AI:

• Microsoft Azure AI Fundamentals
• Develop Gen AI Solutions with Azure Open AI Service
• Designing and Implementing a Microsoft Azure AI Solution
• Artificial Intelligence for the Business Professional
• Generative AI for the Business Professional
• Certified Artificial Intelligence Practitioner

• Developed a technical concept for virtual testing and variant management.
• Aligned with technical teams to implement innovative test solutions.
• Facilitated workshops for requirements definition and process optimization.