IT Business Analyst in Germany

• Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
• Integration of Azure AI Document Intelligence and LLM technologies into existing business processes
• Development of robust REST APIs for automated document processing and system integration
• Extraction, validation, and storage of structured invoice data in Azure SQL as a base for analytics and machine learning models
• Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchase data
• Implementation of logging, monitoring, error handling, and validation mechanisms for stable production use
• Collaboration with business teams to define business rules and integrate the solution into existing enterprise processes

Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation

• Analysis, structuring, and prioritization of complex business and stakeholder requirements for a business-critical limit and risk system.
• Translation of business requirements into backlog items, user stories, acceptance criteria, and end-to-end scenarios.
• Facilitation of structured workshops and refinements with business, development, and QA to clarify complex issues and derive actionable product and system requirements.
• Optimization of requirements, testing, and quality processes, including automation, data quality, and CI/CD-related workflows.
• Discovery and evaluation of AI/GenAI use cases in terms of user and business value, data basis, feasibility, and potential capability impact.

• Designed and developed a multi-tenant SaaS platform enabling organizations to build their own knowledge bases and chat with brand-customized AI assistants (white-label approach with dynamic branding per organization).
• Implemented a scalable RAG architecture with a GPT-4o tool-use loop, hybrid semantic search, and strict tenant isolation at database and search index level.
• Built persistent, project-like chat sessions including a streaming API (SSE), multilingual support, and speech input/output (STT/TTS).
• Delivered the cloud infrastructure as Infrastructure-as-Code, fully automated per-customer CI/CD pipelines, and an onboarding process for new tenants.

Technologies used: Python, FastAPI, Pydantic (v2 noted), Next.js, React, TypeScript, Tailwind CSS, OpenAI / LLMs (GPT-4o), Azure AI Search, Cosmos DB, Azure Blob Storage, Azure Cognitive Services Speech, Azure App Service, Azure Container Registry, Retrieval-Augmented Generation (RAG), Server-Sent Events (SSE), Docker, Terraform, GitHub Actions, REST, OpenID Connect (OIDC), Multi-Tenancy

• End-to-end responsibility for the successful implementation and continuous optimization of Mediatool for strategic media planning (offline & online).
• Development and management of efficient onboarding, configuration, and support processes for international stakeholder teams.
• Leadership of API integrations to connect external systems (e.g., for result tracking and performance measurement).
• Advising departments on tool usage and development, including workshop design, training, and knowledge transfer.
• Establishment and maintenance of comprehensive PMO tracking for all tasks, milestones, and deliverables.
• Prioritization and documentation of requirements, change requests, and bugs in Jira, with transparent communication via Confluence.
• Systematic evaluation of user feedback to derive data-driven optimization measures.
• Responsibility for the monthly Mediatool communication newsletter, including content creation for users and leadership.

• 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.

• Senior IT Transformation Consultant and Business Analyst with a focus on banking and large-scale transformation projects.

• Many years of experience in analyzing, structuring, and implementing business requirements, as well as designing target states in complex IT landscapes.

• Strong interface skills between business and IT, with a focus on translating business requirements into workable IT concepts and architectures.

• Solid experience in designing and improving end-to-end processes, as well as creating business concepts and decision papers.

• Proven project success in the areas of Identity & Access Management (IAM), post-merger integrations, IT infrastructure, and regulatory requirements.

• Confident in working with agile methods and artifacts.

• Leading coordination between business units and IT
• Coordinating development and testing
• Business analysis and structured requirements gathering
• Specifying functional and technical requirements
• Integrating interfaces to internal systems
• Developing SQL queries and reports
• Documentation in Confluence Result: On-time go-live, structured and agreed project basis, ensuring a coordinated project workflow.

LOIS is the central integration platform that enables the processes between all REWE applications across the entire supply chain. As an IT Business Engineer, I support the NEO program in renewing the logistics integration platform "LOIS" for REWE and Penny in Germany and Europe.

• Led the realignment and positioning of the 'Connect' sector as a company-wide fiber-optic business
• Oversaw the architectural redesign of the system infrastructure, including process and staff structure optimization
• Designed and implemented a comprehensive modernization strategy for the IT and telecommunications systems
• Managed stakeholder relationships to ensure alignment between business goals and technological implementations

• Implementation of a REST-based web service for querying contract, claims, customer, and sales data as part of the Dialogmanager project.
• Data release is done in compliance with CoC requirements and individual user permissions from IAM (Identity and Access Management).
• Implementation using JBoss EAP 8.1 (JakartaEE 10) and Java 21 as well as JAX-RS, CDI, Microprofile-Config, Microprofile-OpenAPI.

• Set up GUI test framework for testers and developers to easily create GUI tests
• Implemented automated GUI tests with QF-Test for stock trading software and PDF file comparisons
• Created comparison runs between different versions

Used technologies: QF-Test, Java, Jython

Project: Develop a new generational Pricing system & Integration analyst

Roles and Responsibilities:

• Implemented PROS Pricing integrated with SAP S/4HANA 2022 Greenfield implementation.
• Led pricing process transformation, improving business process efficiency through automation.
• Defined migration strategy, conducted user training, and supported solution rollout.
• Acted as Business Analyst for SAP BTP applications (Online ATP, Track & Trace, Order Status), translating business requirements into scalable solutions.
• Managed cross-functional delivery by coordinating SAP ABAP and Full Stack development teams.

The Helaba ATLAS project aims to modernize core systems and make them future-proof. As part of the subproject, the existing legacy system for international payments is being replaced by a modern web-based application.

• Analysis of functional and technical requirements
• Analysis and optimization of business processes
• Process modeling
• Preparation and facilitation of workshops
• Defining project scope and prioritizing requirements
• Business process management (analysis, modeling, and optimization)
• Specification of user stories
• Designing business and authorization concepts
• Testing and acceptance
• Designing mockups in Figma
• Creating the UI/UX style guide for web applications Approach: Scrum (agile) Technologies: Jira, Confluence, MS Teams, Conceptboard, Java, Vaadin, Figma

I continuously expand my expertise in AI and automation, working with ChatGPT, OpenAI, Manus, Gemini, MS CoPilot, API, LangChain, Hugging Face, Manus, TensorFlow and Auto-GPT as well as Python-based ML frameworks and MLOps tools to intelligently transform classic software development, analysis, and testing processes.