Enterprise Resource Planning Experts in Berlin

• Implementation of data models in BW/4HANA, ABAP CDS Views, HANA Calculation Views, AMDP Scripts, OData Services, object-oriented ABAP in BW, SAC.
• Adjustments in BPC for BW/4HANA.

Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.

• Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
• Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
• Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
• Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.

Assessment of the product, delivery, and AI organization with a realignment of operational excellence, target architecture, and AI-first operating model

Situation: The product and delivery organization showed structural weaknesses in efficiency, control, and collaboration. In addition, there was no clear target architecture for AI-driven product and organizational development. At leadership level, there was limited transparency regarding roles, responsibilities, and operational performance.

Responsibility & approach:

• Analysis of the existing product, delivery, and organizational structures in terms of processes, governance, and controllability
• Evaluation of architecture and platform with regard to scalability, future readiness, and AI integration
• Development of a target picture for an AI-first product and delivery operating model
• Derivation of concrete measures to improve operational excellence and collaboration
• Sparring with the leadership team on structured organizational development

Results & impact:

• Creation of transparency regarding structural bottlenecks, performance, and decision-making logic
• Development of a target structure for a scalable AI-first product and delivery setup
• Improvement of decision-making capability and control at leadership level
• Creation of a solid basis for downstream transformation measures
• Definition of concrete levers to improve efficiency, collaboration, and time-to-market

Ensuring project coordination for the implementation of Microsoft Dynamics 365 Finance & Operations: stakeholder management, meeting coordination, open issue tracking, task prioritization and knowledge transfer between business units and IT.

• Leading innovation strategy and the establishment of an AI-native Production System at DIGITALSINN, a content and experience production company.
• Responsibility for innovation direction, AI integration strategy, and production platform architecture
• Establishing a fully AI-driven Production System to transform content operations for brand and agency clients
• Building the strategic positioning of DIGITALSINN as a Production System partner within the DACH market
• Client advisory on AI-native operating models, content automation, and scalable production infrastructure

• Advising companies on building, migrating and optimising BI and reporting landscapes (Power BI, SQL, Python, ETL)

• 5 client engagements in real estate and finance since 05/2025: taking over and stabilising existing reporting, automating recurring standard and management reports, building cash-flow models

• Proposal and feasibility assessments for BI and reporting projects

• Using AI-assisted development (Claude Code) to accelerate automation, tooling and web/app development

• Custom ERP system

• Problem: A client's core processes ran on scattered, siloed Excel files with no central data storage – error-prone, hard to scale and impossible to analyse end-to-end.

• Approach: Captured the business processes and requirements, modelled the data and developed iteratively together with the business team.

• Implementation: Built a tailored, web-based ERP system with a central database, role-based modules and automated reporting – delivered using AI-assisted development in Claude Code.

• Timesheet app

• Starting point: Time tracking based on an overgrown, macro-heavy Excel template – maintenance-intensive, single-user and error-prone.

• Implementation: Migrated all functionality and VBA macros into a standalone web app with central data storage, multi-user support and automated reporting.

• Cash-flow modelling

• Starting point: The existing cash-flow model covered standing investments only; project developments were missing from steering.

• Implementation: Built and extended the CF model to include project-development cash flows.

• Optimisation: Reviewed and optimised existing CF models and expanded the KPI outputs for reporting and steering.

• Responsibilities:
• Collaborate with Product Owner to define functional and technical requirements
• Quarterly Roadmap definition with Executives and Product Owner
• Fix bug and develop new features in Go and Typescript
• Manage and mentor full stack engineering team
• System Design in a micro-service environment
• Guarantee application security
• Improve engineering efficiency and deliverable quality
• Support automation with agentic-AI workflow
• Achievements:
• Improved security and data privacy awareness in the team with workshops around best practices, security measures and attacks types
• Conceptualized, designed and successfully released a new real-time chat application for our partners improving partner/company relationship and collaboration efficiency in Go and Typescript
• Reduced meeting hours for engineers by restructuring projects preparation workflow in collaboration with product team

• International expansion & segment strategy: Built Germany footprint from zero, scaling to 1,000+ SaaS customers across four European markets, developing vertical value propositions, use cases, and segmentation models
• Planning, OKRs & single source of truth: Designed forecasting frameworks, pipeline diagnostics, territory/quota structures for a 30+ FTE commercial org, and established OKR-driven execution with shared dashboards and decision logs
• Operational excellence, automation & regulated delivery: Applied Lean Six Sigma methods and implemented automation and AI tooling across CRM and reporting, simplifying end-to-end workflows and reducing manual effort by ~25%
• Growth enablement & CX: Owned cross-functional growth experiments that increased activation by 30% and DAUs by 10% in a hybrid PLG + enterprise model
• Change management & cross-functional execution: Set KPI agreements with shared services, championed internal change programs, and drove adoption of new operating rhythms and tooling
• Risk management & portfolio steering: Established risk-aware customer prioritization and partnered with risk and finance teams on portfolio steering and resource allocation

• Define D2C business models and go-to-market strategies for consumer businesses. Develop business cases and prioritised roadmaps that help management evaluate commercial opportunities, decide where to invest and organise implementation.
• Lead commerce replatforming from business requirements and technology selection through implementation management. Coordinate internal teams and delivery partners, structure programme dependencies and clarify responsibility for key decisions.
• Design customer experience and lifecycle marketing strategies. Translate customer needs and commercial priorities into service and conversion initiatives, platform requirements and data models, and guide technology selection and migration planning.
• Structure commerce operating models with clear responsibilities across marketing, customer experience and technology. Prepare teams to take ownership of platforms and processes, with agreed priorities and clear handovers into internal operations.
• Advise businesses on AI applications in marketing, customer service and commerce operations. Draw on experience in AI-supported automation, process design and governance, alongside contributions to local systems development.

• Directed the contracts management function for Europe's largest renewable energy portfolio, 10 FTE
• Implemented process automations by architecting scalable, data-driven workflows leveraging AI and traditional automation

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

• Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
• Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
• Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
• Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
• Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow

• Teaching knowledge about modern technologies
• Interactive teaching using tools such as miro