C Experts in Vienna

I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.

Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum

• Steering and supporting the organization in introducing Scrum and a SAFe-inspired quarterly roadmap and portfolio planning at program level.
• Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
• Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
• Moderating and facilitating cross-functional workshops and management meetings to align on shared goals.
• Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
• Removing structural obstacles at team and organizational level through targeted impediment management and escalation processes.
• Enabling teams to become more self-organized, accountable, and end-to-end responsible along the value streams.
• Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
• Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
• Close support for Product Owners in stakeholder management, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
• Introducing, governing, and scaling Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.

Achievements:

• Clear increase in visibility, transparency, and perceived value creation of the development teams within the overall organization.
• Noticeable improvement in communication between development, business, and other stakeholders.
• Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.

• Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance

• Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements

• Further development and configuration of recertification processes

• Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)

• Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards

• Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles

• Work in an agile Scrum team with daily communication, sprint planning and reviews

• Coordination with testers, test managers and business departments to ensure quality and smooth production rollout

• Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies

• Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)

• Reproduction of complex errors, identification of root causes and implementation of lasting fixes

• Creation of technical analyses and recommendations for operations and further development

Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock

Achievements:

• Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
• Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
• Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
• Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.

• Development of a charging station for electric vehicles
• Tools: C/C++/Matlab/Simulink
• Development and testing of functional software with various communication buses

Further development of an insurance product quotation system

• Implementation and maintenance of pricing logic for property and casualty products (accident, property liability, business contents) based on Java and FaktorIPS
• Implementation of actuarial tariff revisions into product-specific calculation models
• Development and refactoring of backend components and web UI components
• Creation and maintenance of test tables and automated premium tests for quality assurance
• Code reviews and active involvement in quality assurance in the development process
• Production support and bug fixing in live operations

• Analysis of extended requirements related to existing controllers in an industrial plant
• Creating concepts for storing and visualizing sensor data
• Communication with PLCs
• Microservice architecture
• Unified architecture
• AI-based evaluations of sensor data
• Technologies used: .NET 8, Minimal API, Postgres, MQTT, RabbitMQ

• Planning and monitoring sprints and holding the scheduled meetings

• Analyzing and resolving issues in the development process

• Error analysis, bug management and correction in individual process steps

• Stakeholder management

• Documentation and improvement of the development process

• Tools: 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

• Replacement of original Dopix documents and modules into the Quadient document environment
• Extension of document logic

• Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
• Definition of modeling standards
• Creation of a conceptual and logical model for the entire Abu Dhabi government administration
• Definition of data quality and data security standards

• Pivoted the company into data-driven and AI-powered energy optimization solutions for microgrids, energy communities, and grid operators.

• Creating test scenarios, manual test cases and test data using boundary value analysis and equivalence classes
• Executing functional and non-functional tests (manually with Postman and web application, automated with WebDriver, JUnit and NUnit)
• Setting up, automating and maintaining the test automation framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web front-end and SOAP API backend interfaces)
• Automating backend NUnit test cases in Visual Studio
• Test management: developing and implementing test strategy and test plans, controlling tests, quality ownership and prioritizing risk-based tests, as well as maintaining documentation in Confluence
• Detailed analysis and quality assurance of requirements
• Creating and maintaining Jenkins pipelines, ensuring quality in build & deployment
• Close collaboration with business analysts, developers, testers and test management
• Identifying, creating and tracking defects/bugs, with thorough test documentation
• Reporting test results and defect reports
• Monitoring test processes and continuous improvements
• Reviewing test data and test results in PostgreSQL database via pgAdmin
• Supporting effort estimation and backlog prioritization
• Analyzing and debugging development code System environment: Java, JUnit, Spring Boot, Selenium, Cucumber, JavaScript, Jenkins, C#, NUnit, Postman, Bitbucket, Confluence, Jira, xRay, pgAdmin, PostgreSQL, SonarQube, Maven, IntelliJ, Visual Studio, CI/CD, SOAP API interfaces

• Built and maintained C and C++ simulation engines with Python analysis for studies of 4D random geometries on shared HPC systems.
• Developed modular Python pipelines with clear interfaces and caching for large datasets to improve analysis throughput and reuse.
• Automated SLURM and PBS batch workflows for submission, monitoring, environment capture, and artifact packaging to ensure reproducibility.
• Refactored utilities into tested, documented packages to lower maintenance effort and support collaboration.
• Supervised BSc students and organized seminars.
• Published several peer-reviewed papers.