Artificial Intelligence Experts in Essen

• Introduction of a new digital product to the Chinese market as part of a global growth strategy.

• Point of contact and coordinating interface between central product management, local Chinese teams and international stakeholders.

• Management of the entire program to coordinate complex digital projects.

• Successful market launch of a digital product in China (including successful certification for the Chinese market).

• Balancing local requirements with global priorities while taking tax and regulatory requirements into account.

• Introduction of a new way of working to improve collaboration and coordination across locations.

• Development and implementation of a scaling strategy for the digital business model in China.

• Use of Jira, Confluence, Miro, Scrum, agile working, SAFe.

• Project language: English.

• Industry: mechanical engineering, vehicle manufacturing
• Regulations: Data Act
• Project focus: data governance, legally compliant use of machine data, data platforms
• Assigned by: CFO, platform product owner

Successes/Results (early phase):

• Compliance support for the setup of an internal standardized data usage platform based on Databricks.
• Created the basis for the legally compliant and effective use of machine data, including:
• Technical: gap analysis and closing of gaps in the segmentation and maintenance of collected machine data.
• Technical: consideration of data flows from the platform to users and third parties.
• Organizational: drafting and finalizing the required data usage agreements.

• 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

• QA Lead for end-to-end quality assurance of the Sparkasse & Sparkasse Business banking apps (iOS/Android); design and implementation of the Test Strategy including functional testing, regression testing, and UAT for eID, Push Notifications, and white-label components
• Creation and maintenance of test concepts and test plans in TestRail; structured Defect Management and error analysis; stakeholder management and risk management for the early identification of critical quality risks
• Accessibility Testing according to WCAG 2.1 (iOS/Android); coordination of AI-supported test automation and optimization of test processes to shorten release cycles
• Release Management: planning, management, and coordination of all test activities; status reporting to management and stakeholders; quality assessment of releases and release recommendations in an Agile/Scrum environment
• Challenge: Highly complex build and release process across several Sparkasse institutions; close coordination with the DevOps team to stabilize the CI/CD pipeline and ensure reproducible test builds before every release.

Tools: Jira, Confluence, TestRail, Android Studio, Xcode, Firebase, Jenkins, GA4

• Success: Successful launch of the eID authentication process - quality assurance ensured for 50+ Sparkasse institutions

• Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow

Technologies: OpenAI Feather

Independent Consultant

• Advisory focus: E-Commerce, Digitalization, Automation, Pricing, Assortment & Merchandising, Platform Strategy
• Industries: Retail & Consumer Goods
• Subject Matter Expert for leading management consultancies
• Ongoing executi...

Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python

• Supported customers in implementing an architecture design for extracting and preparing data
• Planned the design and implementation of the BI and DWH platform
• Ensured the scalability and performance of the data platform

• Acquires new B2B customers for an AI SaaS startup in the public tendering space and books product demos with IT decision-makers.
• Qualifies target customers based on a defined ideal customer profile, including discovery, needs analysis, and objection handling.
• Builds domain knowledge in public procurement (EVB-IT, German and EU procurement portals) for conversations on equal footing.

• Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
• Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.

• Transition of Microsoft Azure operations to BTC AG
• Responsibility: budget of €60k
• Staff: leadership of 5 people
• Tools: Office 365, JIRA, Confluence

• Interim · Transformation & Project Leadership*

• Overall project leadership for transformation and AI initiatives: project setup, management of internal subprojects and external work packages, governance, and handover into regular operations.

• Hands-on with Microsoft 365, Copilot, and agentic AI; productive use of M365 for AI, automation, and digital processes.

• Developed and optimised structured support workflows and evaluation procedures, applying consistent quality standards across high-volume operational tasks.
• Monitored performance metrics to identify systemic issues and drive targeted improvements — a skill directly transferable to LLM performance metric analysis.
• Managed escalations and maintained high accuracy and satisfaction standards in a fully asynchronous, remote-first environment.

Conventional Paradigm Test (CPT) – AI Evaluation & LLM Research

Development of an experimental evaluation approach to examine “paradigmatic closure” in Large Language Models — that is, the question of how far LLMs can recognize the basic assumptions, values, and limits of the paradigms within which they generate answers.

Design and testing of an additional approach to classic AI benchmarks that does not primarily measure factual correctness or task performance, but instead examines a model’s ability to recognize alternative perspectives, make implicit assumptions visible, and reflect on the limits of its own answer or interpretation framework.

Focus areas: development of evaluation criteria and test questions · LLM evaluation and comparative model analysis · prompt and response analysis · qualitative classification of model answers · study of epistemic compression and value leakage · benchmark and literature research · development of structured assessment and analysis methods

As part of CPT, existing AI evaluation approaches and benchmarks were analyzed, and a minimalist test protocol was developed that classifies model answers by response patterns such as DIRECT, CLARIFY, PLURALIST, REFUSE, and META-AWARE. TruthfulQA was used as the basis for experimental application and comparison with existing reference answers.

Technologies & Methods: Large Language Models (LLMs) · Generative AI · Prompt Engineering · AI Evaluation · TruthfulQA · Benchmark Analysis · Human-in-the-Loop Evaluation · Qualitative Content Analysis · Research & Literature Review

• Since 2025, independently delivers social, music video, podcast, and film projects from concept and shoot to post production and delivery.
• Develops ideas, hooks, and visual variations with AI support and turns material into short, platform-ready formats.