Artificial Intelligence Experts in Essen

• 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

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

Technologies: OpenAI Feather

• 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 tender portals) for technical discussions at eye level.

• Led the subproject for implementing Vulnerability Response as part of DORA
• Documented the current processes in compliance, risk & security
• Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
• Agile management of the integration service provider, the technical department, and the company's cross-functional teams
• Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
• Integrated GitLab Ultimate for importing and processing SBOMs
• Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
• Calculated multiple risk scores and priorities
• Defined dashboards and reports (Workspaces, Performance Analytics)
• Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)

• 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.

• Founding and building a startup for generative artificial intelligence with 80 employees and 5 shareholders
• From 2018: building the AI team and the development organization as Chief Technical Officer
• In 2020: conversion into a stock corporation, capitalization, and appointment of an operational board member
• Since 2020: advising the supervisory board on AI strategy, AI governance, and AI products

• Planning and executing integrated 360° marketing campaigns for mid-sized B2B clients
• Stakeholder management with internal teams, industry partners, and external agencies
• KPI-based performance reporting and deriving optimization measures
• Managing SEA budgets; keyword research and competitor analysis (ahrefs, Google Search Console)
• Scheduling and deadline management across multiple parallel client projects
• Tools: Google Ads, Google Search Console, ahrefs, WordPress, Trello, Canva, ChatGPT, Claude, Gemini

• Overall responsibility for strategic and operational procurement, Procurement Management (11 FTE).
• Further development of the procurement and procurement organization, including task and role model.
• Management of cross-functional special projects (e.g. value engineering, design-to-cost).
• Development and implementation of a holistic sourcing and procurement strategy with a focus on resilience, ESG, de-risking, decoupling and cost performance.
• Execution of a comprehensive procurement transformation with a new supply chain strategy alignment.
• Reorganization of the procurement team to improve efficiency through clear role allocation and relief from non-core and non-functional tasks.
• Professionalization of contract management processes and supplier development programs.
• Process optimization along the S2C and P2P chain, including standardization and automation in line with MDR (EU Regulation 2017/745), GxP compliance & quality management systems ISO 9001 and ISO 13485.
• KPI development and optimization of the KPI system for performance and efficiency measurement in critical paths and missing parts.
• Coaching the team in strategic procurement work, project management and procurement due diligence.
• Implementation of AI-supported tools for sourcing, spend analysis and inventory management to optimize inventory.
• Achieved inventory reduction of ~31% through professional inventory management.
• Management of two cost reduction (cost avoidance) programs with quantified results: ~50% reduction in manufacturing costs for one core component and ~64% reduction in material costs for the successor platform through redesign and category sourcing.
• Savings in the low double-digit million range versus the baseline.
• Material groups: contract manufacturing, PCBA, EMS, blower, silicone injection molding, power supplies, batteries, displays, hoses, masks, valves, foams, cables, sensors, wireless modules (2G–5G), telemedicine components, laboratory services.