Virtual Reality Experts in Germany

Project scope: Supported the establishment, scaling and continuous improvement of project management and support processes by modernizing governance, processes, documentation, deliverables tracking, training content and tool-supported ways of working across a complex energy project environment.

Key contributions

• Supported the build-up and maturation of the PMO department, including governance structures, operational frameworks, project management processes, templates and deliverables tracking mechanisms.
• Conducted As-Is analysis of existing processes and their documentation, including process inventory, interface mapping, problem identification and creation of visualizations and white papers to improve shared understanding.
• Reviewed and improved project management documentation, templates and work instructions, including support for a project document master list to strengthen standardization and control.
• Designed and supported rollout of a lessons learned process and related system/application, including pilot preparation, coordination and implementation support.
• Mapped and supported implementation of a new resource management process connected to the rollout of a resource planning tool.
• Led and supported adoption of agile ways of working and Atlassian tools, including Jira and Confluence team boards, plans/roadmaps, dashboards, sprint planning and retrospectives.
• Acted as key user for continuous usage improvements in PMO tools and collaboration practices.
• Developed training curricula, instructional videos, supporting materials and PMO Open Doors sessions to improve capability transfer and provide a recurring forum for updates and information sharing.
• Developed a skills matrix concept and supported rollout as a basis for structured capability management and training demand analysis.
• Supported preparation of department offsites, implementation of a new Integrated Management System (IMS), creation of a SharePoint-based PMO website and department integration after restructuring.

Results / business impact

• Improved project management & PMO structure, processes and their documentation
• Enhanced transparency and standardization across processes, documentation, governance routines and project deliverables tracking.
• Enhanced information flow and knowledge transfer through SharePoint-based communication, PMO forums, training curricula and instructional videos.
• Strengthened lessons learned, resource planning, agile collaboration, capability management and post-restructure department integration.

Project: Design and implementation of an AI product for four business use cases

Project management for an AI project at a leading provider of large-scale catering and food services, where a production-ready AI product for four use cases was implemented together with an external development partner: automated briefings based on CRM and document data, voice-based capture and structuring of reports, detection and consolidation of duplicates in master data, and data-based market analyses. A key focus was a data-protection-compliant architecture that passed the internal IT security review and enabled production use.

• Translation of business requirements into clearly defined AI use cases with a focused product scope and clear value proposition
• Selection and evaluation of models and architecture options for text extraction, speech-to-text, and context enrichment from business systems, including LLM integration, function calling, and retrieval
• Development and implementation of an architecture with European hosting, data minimization, and masking of personal data as a prerequisite for approval
• Management of interfaces between business departments, IT, IT security, and the external development partner under restrictive data access conditions
• Coordination with the CIO and executive management levels on data access, risk assessment, and approval decisions
• Preparation for the transition to production use

Built Python-based AI microservices and integrations for an AEC/VR Unity-based SaaS app, focusing on LLM/VLM capabilities, retrieval-backed systems, RESTful APIs, containerized deployment, and an automation microservice for the CAD-to-Unity pipeline.

• Developed a custom Hybrid A* based algorithm in C# to simulate hospital scenarios and detect early-stage design conflicts from collision/spatial data and generate structured reports.
• Solved and automated the time-consuming problem of converting CAD files to usable Unity environments with a custom-engineered and real-time pipeline using a ZeroMQ-based communication layer to distribute workloads across multiple processes and achieve real-time performance.
• Built a Dockerized FastAPI pipeline for CAD-to-Unity automation, combining vision-based object matching, image embeddings, and precomputed metadata to automatically map CAD objects to Unity behavior scripts, assign properties, and reduce repeated AI inference calls.
• Created documentation and examples to help technical users understand, configure, and extend the AI automation pipeline.

• Strategic consulting for the Head of Brand on brand strategy and change processes
• Analysis of existing processes, resources, and interfaces within the team as well as with internal and external stakeholders
• Development and implementation of recommendations for action to improve processes and increase efficiency
• Project management and change management for the successful implementation of measures
• Management and selection of external service providers to ensure smooth execution
• Optimization of internal processes and interfaces through in-depth analysis and recommendations for action
• Effective acceleration of decision-making and management processes in brand management
• Successful management of external service providers and agencies for more efficient workflows and higher quality

• Responsible for the overall planning, concept development, and operational implementation of content production for Queisser Pharma and Doppelherz International, including the coordination of video and photo productions for international content.
• Strategic planning, management, and implementation of the D2C content strategy for Doppelherz Germany, especially for platforms such as Amazon, to increase reach, engagement, and conversion.
• Independently developed and implemented the collagen beauty campaign and organized and managed the Doppelherz brand film project, including close coordination with internal departments, external agencies, and production service providers.
• Ensured deadlines, budgets, and quality standards while consistently following the Doppelherz guidelines.

• Supported the AI startup MachOptima during its spin-off phase in the field of industrial process optimization

• Strategically built up business development and acquired the first pilot customers

• Evaluated and refined the service offering for industrial clients

• Developed and executed an acquisition strategy for pilot projects

• Managed key accounts and supported customer meetings

• Shaped the strategic roadmap

• Built sales processes and CRM structures

• Successfully secured first pilot customers

• Built a structured sales setup and supported several customer projects

• Sharpened market positioning through a refined value proposition

• Long-term strengthening of the founding team's internal understanding of strategy and sales

• Provided technical leadership for a 4-engineer team delivering 3 major client platforms in 12 months with microservices architecture and scalability solutions — 100% of scoped majors shipped ahead of schedule vs. planned milestones (baseline: prior releases often slipped 1–2 sprints).
• Ran AI model evaluation and model outputs evaluation on LLM/AI vendor APIs: safety, completeness, instruction adherence, and groundedness review before go-live; cut escaped bad outputs in AI-integrated release checklists from recurring UAT findings to near-zero on final promote.
• Drove API development and performance optimization for payment, exchange, and AI services; fail-closed error handling and payload validation reduced integration rework cycles by ~35% vs. the first AI integration pass.
• Applied software testing, testing frameworks, code quality assurance, and code refactoring with continuous integration gates; first-pass PR acceptance improved across the team and production hotfixes on AI adapters dropped noticeably after review standards landed.
• Owned DevOps practices: Docker, GitHub Actions, Jenkins-compatible pipelines, and version control workflows — cut deployment time ~50% vs. pre-automation baseline and stabilized releases across 3 client environments.
• Implemented verifier/oracle-style pass-fail checks in container sandboxes (Harbor/Terminal-Bench aligned); wrote technical documentation so failures cleared in one review cycle.
• Led cross-functional collaboration with product and client stakeholders; translated AI evaluation scores and risk findings into plain-language briefs for non-technical partners, unblocking go/no-go decisions without extra engineering meetings.
• Used agile methodologies for sprint planning and backlog ownership; mentored engineers so mid-level contributors owned AI adapter modules independently by mid-engagement.

• Savills is one of the world's leading property advisors with 700+ offices worldwide. In Berlin, I built core digital solutions for the valuation business, replacing legacy Access-based workflows with an enterprise-grade web app built on Vue.js.
• Frontend Architecture & Scalability: Designed scalable Vue + TypeScript frontend architecture for internal enterprise applications, integrating a Symfony backend and interactive maps.
• Legacy Modernization: Led the modernization of legacy jQuery-based systems into maintainable Vue-driven applications, improving performance, maintainability, and efficiency across business workflows.
• PDF Report Workflow Automation: Engineered Twig-based automated PDF generation pipelines that reduced manual report preparation time by ~80%, saving approximately 12h per analyst/month.
• Design System & Frontend: Built a scalable SASS-based design system using mixins, maps, functions, and reusable UI patterns for consistency and long-term maintainability.

• Billing software for the second-highest security authority of the Federal Republic of Germany
• Passed security clearance level 2
• Frontend and backend development
• Consulting on the introduction, design, implementation, and development of technical components
• Code reviews, component testing, module testing, group module testing
• Implementation of UI/UX design
• Used technologies: HTML, CSS/SCSS, JavaScript, Node.js, Vue 3, PrimeVue, Webpack, Vuex, Momentum, Jest, NPM, Lodash, Java 17, Spring Boot, Lombok, GraphQL, JUnit, Maven, Keycloak, Python, Docker, CI/CD, Kubernetes, Oracle SQL, Postman, Storybook, Microservices, Monorepo, Jira, Confluence, Scrum, GitLab, AWS, IntelliJ, Visual Studio Code, Neovim, XLSX, responsive Webdesign, BITV 2.0 (U.S. Section 508) / WCAG 2.2

• Disciplinary and professional leadership of the IT and service team
• Definition and documentation of the Current Mode of Operation (CMO) in Confluence: application landscape, infrastructure, networks, backup & storage
• Development of the Future Mode of Operation (FMO) including process analysis & stakeholder interviews with all departments using BPMN and flowcharts
• Optimization of license management: reduction of ongoing software costs by approx. 17% p.a.
• Introduction and establishment of Jira as the central tool for project and service management
• Introduction and rollout of the HR software MindKey to digitize HR processes
• Introduction of a VoIP solution with Microsoft Teams incl. PSTN connection to replace classic telephony
• Introduction of the production and planning software OptiControl to digitize operational processes
• Rollout of Intune as a Mobile Device Management solution for Windows, iOS and Android
• Build-up of Power BI dashboards for machine park monitoring and financial reporting
• Planning and execution of the IT consolidation of two locations for 170 users
• Introduction of automated penetration testing with Pentera
• Coaching and mentoring the team in agile methods & project management
• Operational support in day-to-day business: administration, incident & change management
• Management of external service providers and assurance of the quality of outsourced IT services
• Responsibility for the IT budget incl. planning and controlling
• Direct reporting line to management with regular management reports on IT KPIs, budget and project status

Over 35 years in the SME sector. Customer consulting, marketing, sales, commercial management – always where decisions are made pragmatically rather than theoretically. Always looking at the bigger picture, across departmental boundaries.

When AI emerged, I felt like many others: fascinated, but also overwhelmed. Instead of waiting, I immersed myself in the subject through further training as a

• AI Consultant and AI Manager (IHK) - for a solid foundation
• AI Compliance Manager (IHK) - for security
• AI Design Sprint® Facilitator - for strategy

This made one thing clear to me: Most SME managing directors do not need a technician who sells them the next automation. They need someone who speaks their language, understands their processes, and can put AI into perspective – matter-of-factly, in a structured way, without hype. They need clarity!

That is exactly what I am: business professional meets AI know-how. Not a developer, not a tool salesperson – but someone who knows how SMEs think and now brings the knowledge to give SMEs a well-founded start to their AI transformation.

AI clarity from the AI Clarity Expert comes in 4 modules:

• Assessment (AI maturity check)
• Security (AI Act)
• Strategy (AI Design Sprint®)
• Support

• Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
• Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
• Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.

Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.

• Concept and UI design for cloud-based banking platforms and SaaS loan process automation, including AI-supported document validation.
• UX optimization of the loan application flow, expansion of the design system, and building a scalable white-label solution.

• Enhanced the AI model monitoring solution to allow comparative analysis of model versions and full tracking of input variables with relative drift metrics for complete monitoring.
• Developed a custom LLM solution to automate the certificate of incoming goods of supply and support downstream analysis.
• Enhanced Digital Twin AI models to support model validation.

Skills: Python, Statistical Computation, Large Language Models (LLM), Machine Learning Engineering, Natural Language Processing (NLP), Data Wrangling, Data Visualization, Statistical Evaluation.

Tools: Python programming, Snowflake, Databricks, Microsoft Powerapps, Powerautomate, PowerBI, Scipy, Seaborn, Scikit-Learn.