IT Consultants in Munich

• Owned requirements management for a connected mobile app integrating live vehicle hardware and embedded systems, from analysis through implementation (Requirements Management). App has grown to 500,000+ Google Play downloads and 5,800+ App Store ratings (4.4/5), ranking #170 in Germany's Navigation category.
• Steered digitalization and process optimization projects, coordinating between specialist departments, development teams, and external partners.
• Formulated requirements as user stories and acceptance criteria, accompanying implementation through testing and release.
• Applied genuine, practical AI Fluency to identify automation opportunities and accelerate delivery work. Applied SAFe and PRINCE2 methodologies; earned SAFe® 6 POPM and PRINCE2® Foundation certifications while in this role. Certified in Anthropic's AI Fluency framework.

GenAI – Chat & Voicebot

Setup of a GenAI solution with a knowledge base as well as chat and voicebots.

• Definition of use cases and chat/voicebot functionalities
• Project setup for cloud, knowledge base, LLMs and RAG
• AI guardrails, IAM concept
• Governance, Risk & Compliance (GRC)

Result:

Setup of an enterprise GenAI solution with knowledge base, chat/voicebots, IAM and governance.

• As-is assessment of the current network infrastructure and its documentation, including on-site inspections
• Independent planning of new distribution and main distribution rooms in the individual district offices (components used, rack layout, connectivity), considering the BSI IT-Grundschutz and InfoSic requirements
• Planning of new copper and fiber optic cabling, including patch panels
• Coordination with building services engineering (TGA) to ensure compliance with relevant on-site requirements
• Development of detailed execution plans and high-level concepts for the rollout of the new infrastructure
• Additional support after the components go live (hypercare phase)
• Regular communication with project management and client stakeholders

• Set up Azure Kubernetes clusters (AKS) with network policies, security groups, and RBAC
• Developed Terraform-based infrastructure as code for secure, reproducible deployments in the BMW Azure cloud
• Hardened CI/CD pipelines using Jenkins, SonarQube, Fortify SSC, and Contrast AST
• Integrated SAP BTP/Kyma and ServiceNow GRC

• Installation, maintenance and regular upgrade of the DB systems with 19x
• Use of OPatch and RU 19.27 on RHEL 8x, SLES 15.x and Windows
• DBA for DACH and European customers in production and last test environments (e.g. Konrad Adenauer) as well as others in CDB
• Processes via Confluence
• Support in operations for customers SR via Metalink

Process analysis and design in the Personio HRMS environment to reduce complexity and harmonize, automate and ensure compliance.

Optimization of the Personio time management module: consolidation of 46 heterogeneous time models into 6 clearly defined, standardized working time models, including break logic, overtime rules and approval workflows.

End Customer: Openry GmbH

E-commerce platform to globally commercialize high-quality Italian artistic productions. Several European shops are already operational and Asian markets soon coming up. My role as Agile Project Manager is to lead the complete team on both the customer and technical side (offshore) including strong strategic consulting, in a continuous delivery approach. As project in a small enterprise, the budget management aspects are particularly challenging, in a quest to deliver the maximum business value with minimal overheads. Technologies: Magento 2, M2E Pro, Linux, Apache, MySql, PHP (LAMP), Stripe

AI Assistance and Target Vision for Partially Autonomous Energy Portfolio Management

Building an AI control layer directly on the up-to-date daily live portfolio of a large energy provider — not as an isolated pilot, but as an operational extension of the existing DB1 and portfolio management. The goal is the gradual development from assistance through monitoring/alerting to analysis agents with Human-in-the-Loop approvals, supplemented by a role-specific System of Engagement alongside the BI System of Record. At the same time, the business case, target vision and management pitch compared with static monthly reporting are being developed.

• AI control layer: Design and build on the existing live portfolio data product (several million contracts) — development stages assistance → monitoring/alerting → agents with Human-in-the-Loop approvals.
• LLM-supported data analysis: Semantic queries, SQL/tool integration and additional RAG components based on portfolio, plan-versus-actual and data quality data (Azure OpenAI, Snowflake), with drill-downs to individual contract level.
• Analysis agents: Multi-stage agents for variance and driver analyses of churn, price adjustments, volumes and procurement costs.
• Views concept: Role-specific interfaces for business units, management and C-level as a System of Engagement alongside the BI System of Record.
• Business case & pitch: Target vision and cost-benefit argumentation compared with static monthly reporting.
• LLM setup (privacy & security): Coordination with IT Security and Data Protection — EU region, data separation and approval processes.
• Agent architecture: Multi-stage agent pipelines (analysis → validation → summary) with documented data sources, tool calls, review steps and source references for each statement.
• Data foundation: Built on the up-to-date daily DB1 data product (Snowflake, dbt) — portfolio, plan-versus-actual and data quality metrics as the common basis for all AI analyses.
• Guardrails & evaluation: Evaluation and approval processes for LLM responses relating to management-relevant statements — test sets, metrics and human review.
• Prototyping & validation: Iterative validation of agent responses with the business unit — test question catalogue, feedback loops and response quality for each release.
• Roadmap & development stages: Detailed stages from assistance → monitoring/alerting → partially autonomous management, including transition criteria and governance for each stage.
• Integration: Integration into the existing BI and data landscape — BI remains the System of Record, while the AI layer provides interactive drill-down paths as the System of Engagement.
• Enablement: Enablement of business users — prompting guides, training and an operating model for ongoing use.
• Management: Coordination of business units, Data Engineering, IT Security and Data Protection.
• Change Management: Communication and expectation management with business units and management throughout the development stages.

Results:

• Built on an existing up-to-date daily data product with several million contracts
• Established an LLM setup coordinated with Data Protection and IT Security in the EU region, including data separation and approvals
• Defined three development stages through to partially autonomous management
• Designed role-specific views for business units, management and C-level
• Developed the business case and management pitch for the development stages
• Established an iterative response-quality validation process with the business unit
• Designed the operating model for assistance operations and initiated validation

Stack: Azure OpenAI, Azure AI Foundry, Snowflake, dbt, React, TypeScript, Entra ID, RAG, Agentic AI, analysis agents, Human-in-the-Loop, Prompt Engineering, LLM Evaluation, LLMOps, GDPR / EU region, Azure DevOps, Python, SQL, Change Management

• Mentoring startups about technology trends and solutions, business models, market and competition research.

Managing the harmonization and further development of an international CRM- and ERP-related system landscape across multiple product lines and markets (PMI)

• Analysis, design, and requirements management for harmonized end-to-end business processes and business logic (Customer Base & Lead to Order, Lead-to-Cash, Order-to-Cash, Billing, Accounting, Service)
• Integration of Salesforce with billing and accounting systems (JustOn, DATEV) including data model, interfaces, and billing logic together with implementation partner
• Designing a central IT operating model to improve IT project management and DevOps model between business stakeholders, E2E process owners, and IT.

• Integration of payment methods and optimization of the checkout process
• Coordination of interdisciplinary teams, resulting in a 30% increase in user retention

• Analysis and assessment of the approach model
• GAP analyses (sourcing readiness) and process analysis
• Process documentation
• Channeling and evaluation of department requirements
• Monitoring of the service provider/nearshoring partner

• Business and technical consulting for master data provisioning and process management
• Support for transition management
• Process optimization
• Interface definition

• Analysis and optimization of the VMware environment for operation in a critical infrastructure environment
• Planning and execution of updates for the VMware and hardware environment in a critical infrastructure environment
• Deployment of Skyline Health Diagnostics
• Review of existing documentation
• Training and onboarding of new internal staff
• Support for migration and upgrade projects
• Preparation for moving scripts in the virtualization environment to GitLab
• Ticket handling with ServiceNow