GPT Experts in Cologne

PFS-Matching-App

• Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
• Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
• Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes

• Delivered ML pipelines for OCR, semantic search, and computer vision
• Integrated Azure AI Agents and GPT workflows for automation and QA
• Deployed cloud-based FastAPI services with scalable architecture
• Created integration docs and advised on LLM production readiness

AI Strategy & Enablement for SMEs Management consulting – SMEs (e.g. marketing boutique, IT & office services)

Concept and delivery of structured AI introduction and strategy workshops for small and medium-sized businesses. Result: Practical AI status assessment, prioritized use case list, and management decision template as the basis for the next steps in the company’s AI development.

Activities

• Needs analysis and individual preparation of the consulting formats
• Facilitation of a structured AI status assessment including vision, mission, and target picture
• Identification and prioritization of relevant AI use cases and action fields
• Creation of management decision templates and roadmaps
• Raising awareness for opportunities, risks, and success factors of AI introduction
• Support for first customers with AI-supported automation scenarios
• Supporting people and teams through the change process of AI introduction (CM)

Methods / Tools / Technologies

Methods:

• AI status assessment & use case analysis
• Workshop moderation / facilitation
• Requirement Management
• Change Management (PROSCI)

Tools:

• Generative AI tools (e.g. ChatGPT, Claude)
• Automation/AI coding tools (e.g. n8n, Claude Code, Visual Studio, Antigravity)

Technologies:

• Prompt engineering
• AI workflow automation

• Program Manager for a strategically highly relevant compliance project in the enterprise segment (C4)
• Leading 6 workstreams
• Setting up the project organization, establishing communication structures, project and budget planning, risk management
• Reporting to the CIO
• Facilitating steering committee meetings
• Facilitating critical solution processes
• Responsible for adapting the operating model of the IT organizations in Germany, the EU and India, including planning and managing the relocation of affected employees

• Developed a shop website
• Integrated an AI language model
• Developed tools for AI-powered webhooks
• Technical tools: REACT.js; Elevenlabs; MCP; n8n; HTTP

• In my key role in strategic requirements management for the UVO online service, I established a comprehensive process from concept to execution.
• The responsibility included effectively collecting and prioritizing user feedback and requirements from municipalities and state administrations for direct service improvements.
• Developed, implemented, and led strategic requirements management for the OZG 2.0 UVO online service
• Gathering, prioritizing, and handling functional requirements, issues, improvement suggestions, and requests from municipalities and state administrations
• Creating release documentation
• Communicating implemented requirements to municipalities and UV offices
• Aligning with service managers and stakeholders
• Coordinating XFamily changes and version updates
• Managing and maintaining the Jira backlog and Confluence pages
• Responsible for Jira sprints, sprint planning, and review
• Coordinating with business, Product Owner, and development team for requirement implementation
• Testing implemented requirements in the online service
• Project documentation

• Developed a customer-facing application for a team of realtors to manage insurance and financial contracts
• Provided real-time insights into various insurance products, allowing realtors to manage, compare, and recommend contracts to clients
• Implemented a complex, reactive SVG visualization that displays key contract metrics for client presentations
• Worked with Nuxt 3, Tailwind, Google Firebase on the frontend and Node.js, MongoDB, PostgreSQL on the backend
• Followed Kanban, SCRUMBan, and Scrum methodologies
• Began learning Rust

• Independently initiated and deployed automated validation workflows using Python, cutting manual processing by 58% and improving efficiency
• Developed a machine learning model for synthetic defect generation, reducing downtime and production costs; deployed locally and via Databricks and Azure AI Factory
• Utilized a small dataset of image data from the production lines and extended this dataset with training on models like cycleGAN and pix2pix
• Built and optimized the Linux-based development environment for training 3D models; maintained reproducibility via GitHub
• Presented technical insights to cross-functional teams (engineers, QA, project managers), ensuring alignment of ML solutions with operational needs

• Consulting and implementation of digitalization projects nationally and internationally for start-ups, SMEs, and corporations
• Focus areas: design systems, RAG & automations
• Tools and technologies: Claude, GPT, Gemini

• Build a sophisticated AI copilot to augment the students’ learning experience and provide AI-derived insights to professors.
• Build a multi-chain LLM system adapting to user needs at its own accord with a Weaviate vector DB based RAG system and evaluated it with Ragas.
• Build responsive react frontend, and backend systems handling auth, data management and auxiliary services as a RESTful API.
• Deployed and managed the app to the cloud in a production environment including the CICD via multi-stage deployment.

• Project management in agile environments for eGovernment and Smart City projects
• Building knowledge on generative AI (Gen AI) for various existing clients and business development of Gen AI use cases
• Managing director responsibilities