Requirements Engineer

• Analysis of existing work, information and decision-making processes.

• Identification and prioritization of suitable use cases for AI agents.

• Elicitation of functional and non-functional requirements.

• Design of collaboration between users and AI agents, including control and escalation mechanisms.

• Support for the implementation of the AI agents and adapted keyboard hardware.

• Business target vision for the AI-first transformation.

• Structured and prioritized requirements for implementation.

• Defined roles, interactions and control points between people and AI agents.

• Preparation for the gradual automation of productive work processes.

Techstack: AI agents, LLMs, agent orchestration, RAG, APIs, automation, hardware

Ativa is the management company of Sammelstiftung Vita (Zurich Insurance’s occupational pension fund) and is responsible for around CHF 22 billion in assets.

• Created interactive Power BI dashboards and reporting solutions for senior management
• Implemented an underwriting tool based on Power BI (DAX)
• Built a cloud-based MS Azure SQL database and documented it
• Underwrote pension risks, including making decisions on acceptance, rejection and terms

Topics:

• Further development of the CRM system NKAM and technical separation of “direct” and “indirect” sales
• Redesign of the discount management area and outsourcing to another system.
• Designing numerous improvements on the wholesale side to reduce manual effort down to the level of user stories.

• Focus on digital transformation in the energy and mobility sector, including SAP R3 transition to S/4HANA
• Project management and requirements engineering in the energy sector (workshops, requirement specification creation, process development)
• Advice on the mobility strategy for public transport/transport of Stadtwerke Wien
• Development of digital strategies for after-sales program at Daimler-Benz

• Self-employed · Berlin, Germany
• Co-founded the company and own the entire technical side: product architecture, backend, frontend, infrastructure and operations.
• Designed and built the Automated Booking System (ABS) as well as the core platform and payment logic.
• Development of AI-powered SaaS products, from architecture through backend and frontend to production operation.
• Technical consulting on product architecture, data protection and permissible automation.
• Building, running and monetising my own API products for AI agents, each available as a REST interface and as an MCP server.
• Full ownership of architecture, infrastructure, billing, legal texts and go-to-market.

• Provided targeted consulting and support on IT delivery and integration topics.
• Designed, implemented and operated own software products (Rendita, vailuate) independently: requirements, architecture, testing, releases and ongoing development, implemented with AI support.
• Ongoing learning in AI, mainly through hands-on work with LLMs: API integration, agentic workflows with automated evaluation, Model Context Protocol; supported academically through the MSc study program in AI Transformation.

• Supported design, setup, maintenance and enhancement of IBM Rational DOORS (9.6 and DNG) and IBM Rational Publishing Engine
• Conceived IT solutions and implemented them, including acceptance tests, considering customer-specific requirements
• Ensured functionality of tools and systems in scope
• Identified needs and advised departments and projects, designed single solutions when necessary
• Monitored and maintained central requirements engineering systems (servers, software, subcomponents)
• Advised on tool selection, features and application use cases for engineering applications
• Handled support requests from employees, customers and development teams autonomously
• Created system documentation and user guides
• Participated in cross-departmental IT projects and led subprojects

• Impact: Structured requirements analysis and quality assurance as a foundation for the further development of a software solution.
• Analysis, documentation, and coordination of requirements. Conducting stakeholder analyses, interviews, and workshops to gather and validate requirements. Conducting requirements reviews and working closely with business departments and development teams.

Techniques & Tools: Requirements Engineering, Stakeholder Management, Workshop Facilitation, System Context Modeling, Requirements Reviews, Quality Scenarios, Miro, Jira, Confluence

• Conducting a feasibility study on introducing an in-house DWH as a central data source
• Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
• Gathering and detailing business requirements including a target concept for an in-house DWH
• Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
• Developing initial data models as a basis for data quality and later implementation
• Drafting solution variants including architecture and operation options and decision basis
• Creating the business case including effort estimates, cost-benefit analysis, and decision report

• For the internal MIS, which gathers data in a complex, comprehensive system landscape and loads it into a central database via ETL, existing processes and packages had to be maintained and new KPIs analyzed, specified, and implemented.

• 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.

• Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
• Takes over and stabilizes existing solutions after a short handover
• Business analysis and requirements engineering for migration to a new cloud environment
• Optimization of machine learning models for feature extraction and customer profiling
• Ensures data protection and compliance
• Leads the migration of on-prem systems to Microsoft Fabric
• Designs new AI platforms for clients
• Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication

• Planning, implementation and rollout of 7 eGov services for companies and job seekers for the Unemployment Insurance Fund (ALV)