Order Management System Experts in Germany

• Advise organizations on integrating AI into project and program management practices, delivering measurable productivity improvements
• Designed and implemented an AI agent to improve project communication, transparency, and reporting quality

• 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.
• Designed and implemented contract testing to validate API schema compatibility between the order management system and the Zed and Glue layers, reducing production-relevant breaking changes by approximately 3%.
• Led the migration to a multi-environment framework that enabled test execution across 4 country configurations from a single codebase.
• Integrated automated unit and functional tests directly into the GitLab CI/CD pipeline, reducing pipeline runtime by 32%.
• Coached and trained 5 QA engineers across Germany and Hungary in test automation, framework architecture, and best practices.
• Architected a layered backend test automation framework separating business logic, API request builders, and the database layer.
• Piloted AI-assisted testing with Playwright Agents, the Playwright MCP Server, and GitHub Copilot for automated test generation, execution, and self-healing Playwright scripts.

Metrify - OS & Analytics Layer Team:

• Built data architecture foundations through pre-commit contracts and modern dbt metadata structure
• Built and maintained modular layers for smart-meter rollout ops, codifying business rules into Star dwh.

Enpal - Central Data and Platform Team (SCM & Finance):

• Designed and built dbt models delivering a curated analytics layer for SCM and Finance stakeholders.
• Implemented inventory reconciliation across sources (ERP vs 3PL; snapshots vs movements) and surfaced variance drivers at SKU/location/channel level.
• Developed Weeks-of-Stock KPI and stock depletion projection (demand + inbound supply) to support planning and operational decisions.

• 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

C# Contract Programming for Special-Purpose Machinery/Visualization Technology

C# contract programming; .net; WPF, WCF, MVC, MVVM

Customization and further development of control software for special-purpose machinery (programming machine sequences), with corresponding interface connections to create a graphical user interface for the mechanical engineering environment (mapping scan processes in 3D)

Quality assurance before handover for use in the customer's live operations

Software, hardware and systems used:

• Windows 2003 Server
• Windows 2008
• Visual Studio 2012 and later
• Various customer-specific hardware and software
• .net Framework
• TFS

• 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

• 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

In my role as Managing Director of QFITS GmbH, I support companies throughout the entire project cycle - from requirements gathering and process analysis to the design of suitable system solutions and all the way to implementation and quality assurance. My focus is on the introduction and integration of POS and ERP systems as well as their seamless connection to existing backend systems and interfaces.

Direct food sales (09/2025 – 05/2026) Support of a project from requirements analysis to the introduction and integration of a new POS system for a direct food sales company. A special focus was on archiving POS logs as well as preparing and providing them as transactions for connected surrounding systems. In addition, design and setup of functional tests and performance tests for the existing backend system, which had to be seamlessly integrated with the POS system.

• 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

• Project Manager for banking projects
• Management and coordination of the projects 'XONTRO T7 Migration' and 'UNO – Unified for New Opportunities'. Management of international stakeholders, preparation and leadership of steering committees, and coordination between departments, exchanges, and external partners.
• Project management of the strategic projects 'XONTRO T7 Migration' and 'UNO – Unified for New Opportunities'
• Management of international stakeholders including exchanges, custodians, and external project partners
• Coordination of functional and technical test activities at the exchanges between trading, IT, accounting, and mid-/back office
• Facilitation of steering committees at management level
• Preparation of decision papers, status reports, and risk analyses
• Conduct analyses in the areas of reporting (compliance, regulatory reporting, etc.), taxes on securities transactions & custody accounts, process analysis
• Enforcement of required requirements/specifications
• Coordination between business, IT, operations, and external market participants
• Coordination and alignment with external market participants, service providers, exchanges, and other project stakeholders

• 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: Roadmap for implementing ITIL processes in IT Operations in line with the requirements for Operational Excellence according to CMMI 4 and the current life cycle management under the framework conditions of GRC, SCRUM and DevOps.

• Consulting, coordination and execution of workshops, analyses and gap assessments.
• Determining the current state regarding the implementation of IT processes, interfaces, tools used and KPIs, with a graphical presentation of the maturity level.
• Defining the target state for IT processes, interfaces, tools used and KPIs.
• Designing a recommendation for action and a roadmap for IT Operations Management in a highly critical and highly available IT infrastructure environment.
• Supporting the introduction of the central service management tool Jira Service Desk.
• Coordination and alignment with business departments / stakeholders / architecture (Avaloq, SAP, etc.) / Security / IAM, BCM, etc.
• Consulting on the implementation of IT operations processes, including Incident, Problem, Change / Release, Request and Service Management (including Service Desk).

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

• 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.