GPT Expert

Developed the product vision and outcome strategy for a new registry platform, designed a management workshop for strategic alignment, conducted BPMN process mapping across systems and roles, analyzed user story practices and further developed them on an outcome basis, and brought together stakeholders from business departments, management and the external development partner.

Skills: Product Strategy, Outcome Roadmapping, Stakeholder Workshops, BPMN/Process Analysis, Miro, Linear

Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.

• Development and implementation of an open-source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self-hosted solutions
• Development of reusable agentic workflows and business applications that enable non-technical employees to solve business problems independently
• Implementation of nine business applications with Single Sign-On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers

Techstack: Python, Streamlit, Anthropic SDK (Claude), Azure, Linux, PostgreSQL, MS SQL, Angular

Stabilization of an Azure/.NET landscape in live operation.

• Architecture, DevOps, and operational readiness; technical decisions under time pressure
• Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics

Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps

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

• Objective/Motivation: PAYONE urgently needs a 360° view of its customers. So far, PAYONE has had no company-wide master data strategy. It is not possible to identify customers across all relevant systems.

The organization is to be enabled to identify customers across all relevant systems. Establishing the basis for master data management at PAYONE

• Challenge: Due to company acquisitions, the system landscape is very heterogeneous. The company is highly dynamic and burdened with many system harmonization and integration projects, meaning that resource bottlenecks and changes in project priorities repeatedly create an almost impossible task.

Due to BaFin findings, the project has a central task and role. The first focus is the migration of all customers, including their AML/KYC data, from the master data backend systems to Salesforce. This is intended to resolve one of the largest findings and establish the corresponding ODD/EDD processes.

In addition, customer data must be harmonized in Salesforce. Previous migrations resulted in duplicate customer records in some cases. The aim is therefore to maintain only one customer in Salesforce and, using the relevant information from the backend systems, also be able to identify which products the customer uses and in which processing systems the customer obtains PAYONE services.

Project: ONE Customer

Budget: €1.5 million

Team: 10/30 employees (full-time/part-time); 4 vendors/providers

Integration: 8 (subsystems/interfaces)

Applications: Salesforce; SAP S4/HANA; in-house developments

Tools: MS Office; Jira, Confluence, SharePoint

Methods: Hands-on; Agile (SAFe); Prince2

• Administration and further development of the M365 environment, including Teams, Exchange Online, Intune, and SharePoint Online
• Development of dashboards for performance monitoring with Microsoft Power BI
• Implementation of user requirements and processes with low-code/no-code technologies (Power Apps, Power Automate)
• Use of Jira and Azure DevOps to plan and implement user stories in an agile project context
• Participation in daily stand-ups, sprint planning, sprint reviews, and retrospectives as the technical point of contact
• Planning and implementation of security policies using Azure Conditional Access and multi-factor authentication
• Configuration and deployment of clients and applications via MECM (SCCM) and Baramundi

• Task Engineering: Evaluating Coding Agents.
• Asset Creation: Building realistic task environments using datasets and files in German. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
• Prompting & Translation: finding failure points where AI does not work, in German.
• Implementation & Verification: Supporting the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
• Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Opus).
• Quality Assurance: Participation in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
• Linguistic Review: Reviewing AI benchmark tasks across Hindi, Arabic, Japanese, Chinese, Czech and Turkish.

• 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.

• Analysis of the existing reporting platform, including processes and governance topics, with stakeholders from Sales and Marketing.

• Detailed analysis and evaluation of customer-defined requirements for existing reporting and new dashboards to be established.

• Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.

• Use of Microsoft Power BI as the central analysis and reporting platform.

• Development of a proposal for the required further development of processes and the Power BI platform.

• Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.

• Analysis and assessment of the customer's Power BI platform.

• Analysis of processes and data governance.

• Documentation of AS-IS business processes.

• Development of recommendations for further developing processes and the reporting platform.

• Design and implementation of dashboards in Power BI.

• Development of company-wide KPIs and coordination with stakeholders.

• Microsoft Power BI.

• Data analytics.

• KPI definition and reporting.

• Dashboard design and data visualization.

• Stakeholder management and requirements management.

With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.

• Capture current architectures of existing systems as well as methodical consulting and development of target architectures
• Deepen and maintain the building plan / target IT landscape
• Implement technical architecture concepts & architecture descriptions
• Implement migration concepts for updating and further developing the platform and information systems
• Assess submitted improvement suggestions as part of the project
• Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
• Create a compatibility matrix of the components in use and compare dependencies of specific versions
• Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
• Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
• Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
• Advise the Release Train Engineer / Project Manager in identifying project risks
• Advise the System Architect Engineers in steering the implementation of the concept
• Implement the IT concept
• Document the infrastructure

Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot

• Since October 2025, we have been working successfully with omaria GmbH in the area of digital continuing education and artificial intelligence.
• What initially began with the design and production of learning and training videos developed into a broader collaboration: Since February 2026, omaria GmbH has also been supporting us in delivering our continuing education program “Digital Manager - für KI, Tools, Online-Marketing und Vertrieb”.
• Mr. Stefan Thomann, Managing Director of omaria GmbH, personally managed the services and was responsible for both the technical and didactic design as well as the delivery of the live online training sessions.
• So far, around 21 hours of video-based learning material have been created as part of the collaboration.
• In addition, Mr. Thomann conducted around 60 teaching units of live online training for two cohorts.
• The learning videos he created continue to be part of our online course.
• In terms of content, Mr. Thomann covered a broad range of current and practically relevant topics. These included the professional use of ChatGPT and generative AI in everyday business, prompting and AI-supported text creation, deep research and AI agents, the design of custom AI assistants and Custom GPTs, as well as AI-supported image and video generation.
• These topics were complemented by digital productivity and administrative tools and numerous specific application scenarios from different business areas.
• It is particularly worth highlighting that Mr. Thomann takes on responsibility far beyond his role as a trainer.
• He was fully responsible for the technical and didactic design of the sessions, the development of training materials and exercises, as well as the selection and preparation of suitable practical examples.
• He was very successful in translating current technological developments into clear, application-oriented learning content.
• As a trainer, Mr. Thomann stands out in particular for his ability to explain complex AI topics clearly and vividly and consistently connect them with specific use cases from everyday professional life.
• His live online training sessions are interactive, practical and designed to support sustainable knowledge transfer.
• He handles participants with different levels of prior knowledge and professional backgrounds in a confident and assured manner.
• On both an organizational and personal level, we also experience Mr. Thomann as a competent, reliable and professional contact.
• His high level of flexibility and proactive approach, including bringing his own ideas and suggestions to the collaboration, are also particularly noteworthy.

• Owned Qvantum, a cloud-based planning platform for personnel, cost center and sales planning
• Managed roadmap, prioritization and stakeholder communication
• Worked closely with development teams and business stakeholders
• Improved usability and supported data-driven decision making
• Led product development initiatives from discovery through delivery

• AI-native B2B SaaS for freelancer sourcing; DACH market.*

• Enterprise partnerships across four industries: structured and closed multi-stakeholder deals with Telefónica (Telco), Emma Matratzen (Retail), Nürnberger Versicherungen and Flatex (Financial Services), Hubert Burda Media and Serviceplan Gruppe (Media).

• Revenue and growth: scaled FRATCH from €0 to €3.8M annual GMV, with ~80% of revenue sourced from founder-led direct outreach and partner relationships.

• Channel partnerships: sold FRATCH as a SaaS solution to recruiting firms (e.g., YER) — built the partner-enabled motion alongside direct enterprise sales.

• Team build: scaled FRATCH from solo founder to a team of 7 across engineering, product design, operations, and supply outreach.

• Proprietary network asset: onboarded 15,000+ freelancers as registered users — the proprietary DACH network powering FRATCH's matching.

• Built and launched FRATCH GPT (fratch.io/gpt): a production conversational AI agent. Architected the full stack — LLM orchestration, embeddings, re-ranking — with hands-on involvement in technical design and execution.

• GTM build: owned the full go-to-market stack — outbound, LinkedIn (organic + paid), content, and sales enablement.

• Consulting across two integrated areas: Commercial Strategy (pricing, sales steering, marketing strategy, market expansion, margin management) and Operational Efficiency (process automation, AI integration, workflow design, last-mile automation).
• Development of custom SaaS solutions, explicitly tailored to the specific requirements and processes of each company.
• Delivery of AI training and change management workshops for managing directors and specialist departments, including AI competence training with a certificate of attendance under Art. 4 of the EU AI Act.