C# Expert

• Functional management and further development of a team of 28 IT employees (internal & external) in the areas of HelpDesk / HelpLine, RHEL (Red Hat), MUREX (trading system & applications), SAP basic operations
• Management of external service providers (including FI-TS for SAP basic operations)
• Personnel, resource and budget planning for the IT department and projects
• Introduction and establishment of regular communication formats (regular meetings, team and cross-departmental meetings)
• Ensuring application operations in a hybrid environment (Windows / Linux with database and web/application servers)
• Support for transformation projects to modernize the application landscape (e.g. DevOps approaches)
• Building and introducing digital IT procurement for hardware & software (e.g. with DELL)
• Development and management of the „IT Operations DOS" department based on the company strategy
• Preparation of management reports & decision papers on IT projects, optimization potential and automation opportunities
• Representing the department in Rentenbank committees and ensuring regulatory compliance (BaFin §44, DSGVO, BSI, MaRisk)

Reporting and controlling using Power BI for a production ERP system

• Analysis of ERP data and interfaces for use in Power BI dashboards
• Evaluation and migration of existing reports (e.g. Excel) to Power BI
• Development of an authorization concept for selective data access
• Documentation and training on the use and customization of Power BI dashboards

Label: Power BI, Excel, SelectLine ERP, Microsoft SQL, SQL Server Management Studio

AI-supported document processing and inventory management integration

Design and development of an AI-supported application for the automated processing of delivery and invoice documents, connected to SelectLine ERP. Documents are analyzed using AI, matched with orders and line items, and prepared for posting goods receipts.

IMPACT:

• Automated extraction of structured order, delivery and invoice data from PDF and image documents
• Automatic and manual mapping of documents to orders and order line items
• Integration with SelectLine ERP for order import, status synchronization and goods receipt postings
• Traceable processing through separate analysis, mapping and posting processes as well as technical logging
• Development of a containerized end-to-end architecture with AI analysis, workflow automation and relational data storage

KEYWORDS: AI, document analysis, OpenAI, n8n, SelectLine ERP, FastAPI, Python, JavaScript, MariaDB, Docker, REST API, PDF, OCR, mapping, inventory management, goods receipt, workflow automation

• New development and further development of the existing MS Dynamics CRM

IT systems: Microsoft Dynamics Customer Service, SharePoint, DevOps, SAP IS-U

• CRM implementation / further development
• Taking over from the previous service provider
• Business process analysis
• Agile project organization
• Business analysis / requirements engineering with AI support
• Use of AI in development
• Analysis of master data processes
• CRM customer data management
• Requirements documentation
• Stakeholder management
• Workshop moderation

• Built a customized MediaWiki instance, including installation, MySQL database, SSL, and automatic backups
• Set up user roles (Admin, Mod, Verified, User) and a permissions system
• FlaggedRevisions for editorial review workflows · Commenting and rating extensions

• Expert in the company's architecture management area

• Support for standardizing the company's IT landscape

• Further development of architecture management

• Shaping the company's business architecture

• Restructuring, administration and maintenance of all IT assets

• Support in creating a unified software asset management and CMDB

• Creation of unified document management (e-file)

• Transition of documents into a central DMS structure

• Link between architecture management and the department's internal business process management

• Support in developing strategic and tactical development plans

• Organizing communication with key stakeholders

• Support in the conception, organization and coordination of the architecture office to be built up

• Accompanying and advising the entire architecture management process

• Advising the company's business units on architectural topics and their framework conditions

• MS Office, Windows 10, VBA

• ITIL, TOGAF, PowerBi, Kanban, Scrum

• Internal agency tools

• Open Touch Conversation, Webex, wire, bdbos

• MS Sharepoint, JIRA, Confluence

• ARIS, Archimate, BPMN

• Managed (Scrum / Agile) and monitored IT projects, including project controlling, service provider management, reporting, risk management and coordination of all stakeholders
• Planned and supported the go-live and hypercare phase
• Captured, assessed and prioritized requirements for demand-oriented planning and management of IT resources
• Supported the introduction of the CRIF provider for real-time decision-making in sales, fraud prevention, sanctions list screening and scalable payment processes
• Prepared status reports and decision papers for the executive board
• Planned and managed IT projects for the implementation, optimization or migration of e-commerce systems (e.g. shop systems, payment integration, order to cash)
• Coordinated interdisciplinary teams from development, UX/UI, marketing and logistics to deliver project objectives on time
• Analyzed requirements and prepared technical specifications in close coordination with stakeholders and external service providers
• Ensured the quality, performance and security of e-commerce platforms through testing, monitoring and continuous optimization
• Organized meetings with stakeholders, e.g. Demand Thinking, Warm-Up, Impact Board and program planning
• Managed and prioritized demands as well as DMP controlling and communication of results from the Impact Board and KPI analysis

• Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
• Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
• Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
• Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
• Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
• Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
• Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
• Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
• Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
• Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.

Industry: Insurance

Responsibilities:

• Creation & prioritization of the backlog
• Coordination with stakeholders from business departments, management and IT
• Overall responsibility for planning, coordination and delivery
• Roadmap, release & resource planning
• Moderation of reviews and training sessions
• Ensuring product quality
• Coordination of technical implementations
• Support during testing, acceptance and go-live
• Ensuring compliance with project goals, schedule and quality

Technological scope:

• Microsoft Dynamics 365 Sales & Customer Insights - Journeys
• JIRA, Confluence
• Power Point
• Azure DevOps

• Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
• Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
• Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.

Product:

• Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
• Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
• Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
• Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
• Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.

Agent Orchestration & RAG Systems

• Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
• Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.

• Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
• Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
• Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
• Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
• Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
• Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
• Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka

• Analysis of the existing CAN communication between microcontrollers
• Analysis of the sensors used and the measured values collected
• Planning the CAN messages for transmitting the measured values
• Iterative adjustment of the microcontroller code to the new CAN messages
• Cross-compilation from x64 to arm64

• Clarification of project objectives, scope and the target business vision for building the AI-based knowledge database.
• Derivation of the initial architecture and implementation strategy for the Zasterbot chatbot, including separation of the MVP and further development stages.
• Development of a target business vision for building a structured knowledge database and integrating a future chatbot.
• Derivation and prioritization of use cases for information retrieval and provision by the chatbot.
• Modeling of data structures and flows for the effective organization of the knowledge database on the Base44 platform.
• Design and implementation of data models for storing and linking relevant information.
• Development of processes for extracting, analyzing and preparing raw data for the knowledge database.
• Ensuring data consistency and quality as the basis for the future chatbot.
• Planning the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for precise and context-specific answers.
• Implementation of functions for analyzing and displaying data from the knowledge database.
• Use of the Base44 platform with JSON Schema-based entities and a flexible permission concept.
• Implementation of Deno functions for backend logic, event processing and connecting external APIs.
• Integration of OpenAI services for initial data analysis.