.NET Experts in Berlin

• Freelance product owner, scrum master and agile coach in various projects spanning from local agencies to multinational corporations in diverse industries.

• Last projects:

• Adevinta: Technical Project Manager responsible for coordination of several sub-workstreams building the world’s largest classifieds multi-tenant platform.

• Aroundhome (a ProSiebenSat.1 company): Product Manager implementing and verifying on the business side a concept for digital qualification of user requests for matching service providers.

• Peek & Cloppenburg Düsseldorf: Product Manager Mobile advising on and guiding the rebuild of Android and iOS apps.

• Visual Meta GmbH (an Axel Springer company), Berlin: Director Product co-leading the Product & Engineering department together with the Director Engineering.

• Responsibilities at Visual Meta GmbH:

• Define and deliver a 3–5 year horizon product strategy including a product vision & mission connecting to existing company strategy and strategies from adjacent departments.

• Refine an existing OKR process together with OKR master and directors of other departments to increase focus and outcome.

• Support the Director Engineering in creating a platform transformation strategy to transform a monolithic on-premise tech stack into a service-oriented, cloud-based architecture and establish a domain-based organizational setup.

• Accountability for a motivated and talented team of 5 head-level colleagues and 17 operational team members from product management, data and UX/UI design.

• Key achievements at Visual Meta GmbH:

• Defined and delivered a 3–5 year horizon product strategy including a product vision & mission.

• Increased focus within OKR process by moving from 10 company-level objectives to 2 and from several hundred team-level key results to a few dozen.

• Created a career path framework for the product team defining roles and responsibilities from junior to head level positions.

AI Platform Backend – Senior Developer

Brought in to design and build a backend for an AI platform from scratch, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.

Tasks and responsibilities

• Architected and implemented a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a single interface.
• Designed and developed a backend from scratch in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure setup on Azure.
• Built a real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for live operation of AI influencer personas at scale.
• Developed a media management service with integration of cloud object storage for upload and retrieval of influencer-generated content.
• Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing the production error rate.

Tools and technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum

• Clients: Dover, Korn Ferry, Leoni, Lonza, Mars, Molnlycke, Novartis, RELX Group, Schaeffler, Softing AG, Takeda, Wipro
• Industries: Automotive, consulting, construction, engineering, IT, manufacturing, pharmaceuticals (including tariff-bound structures & regulated environments)
• Approx. 2 500–50 000 employees
• Advised HR Business Partners and leadership on operational HR topics, workforce planning and compliance matters
• Supported implementation and optimization of HR processes within industrial and tariff-bound environments
• Collaborated closely with works councils in Germany on hiring and structural topics
• Contributed to policy interpretation and application in line with labor law and internal governance
• Supported employee relations cases in cooperation with HR and legal teams
• Led and supported corporate change management initiatives within industrial and matrix organizations
• Supported corporate organizational restructuring and workforce adjustment measures in close collaboration with senior leadership and works councils
• Ensured process compliance within SAP HCM/SuccessFactors systems
• Delivered HR reporting and analytics to senior stakeholders
• Led high-volume recruitment initiatives across multiple regions
• Delivered end-to-end recruitment, ensuring efficiency, cost control and candidate experience
• Designed and implemented sourcing strategies to attract top talent globally
• Built and maintained high-caliber talent networks and proactively engaged passive candidates
• Evaluated and implemented data analytics tools for enhanced recruitment insights
• Contributed to internal talent development and shared recruitment best practices

• Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
• Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.

• Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
• Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
• Orchestrated pipelines with Azure Data Factory
• Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
• Led the Data Engineering team (3 members) in a functional role
• Conducted workshops to optimize and stabilize the data platform and the development process
• Collected and prioritized new requests, maintained the product backlog
• Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural

• Projects for federal networks (NdB).
• CR management, EoL change requests, design and documentation according to ITSCM.
• Data center planning.
• Project management and engineering subproject management.
• Software development for virtual server environments according to BSI.

• Industry: B2B
• Headless frontend with AEM integration
• Key challenge: Migrating a PWA application in live operation based on .NET and legacy code; the entire application must be converted to React and Express.js/TypeScript
• Technical frameworks: Tailwind, XML, JavaScript, Caddy, ReactJS, Express.js, REST API, JSON
• Cloudflare CDN
• Caddy server with GitHub CI/CD pipeline

• Developed YourBestChance.io, an AI-powered career resilience platform that leverages advanced machine learning to provide personalized guidance and resources for users.
• Architected and implemented a Retrieval-Augmented Generation (RAG) system supporting three languages, utilizing GPT-based large language models (including OpenAI and Grok variants) integrated with specialized vector databases for efficient semantic search and similarity matching.
• Built an interactive AI chatbot powered by generative AI and RAG pipelines to deliver real-time, context-aware responses and enhance user engagement.
• Optimized data pipelines and AI infrastructure for scalability, ensuring robust performance under increasing loads and reducing latency by 50%.
• Developed comprehensive AI strategies using ML and Gen AI to create customized growth plans; analyzed company data to identify strengths, weaknesses, risks, and opportunities for AI integration.
• Defined ethical frameworks for AI deployment, assessed workforce and leadership upskilling needs, and built phased action plans (short-, mid-, and long-term) with targeted AI integration recommendations.

• Reporting directly to the CEO.
• Responsible for all things in the engineering space including software engineering, architecture and quality assurance.
• Led a team of around 25 cross functional team members including frontend, backend and fullstack engineers.
• Aligned engineering strategies with organisation strategy through clearly identifiable OKRs.
• Introduced Team Topologies and Scrum, ensuring less hand-offs between teams and improving their efficiencies which resulted in more impactful solutions for our customers.
• Lead the technology due diligence process for an M&A decision.
• Spearheaded the re-architecture of our product from monolith to microservices, reducing technical debt and enabling expansion into new markets.
• Managed a budget of around €2m, optimising costs by introducing SaaS solutions and replacing homegrown systems.
• Negotiated vendor contracts, reducing costs by at least 10% and improving service delivery.
• Set clear expectations and goals for engineers ensuring their continued growth within the organisation.
• Technology stacks included React, Node.js, MongoDB and GCP.

• Development and maintenance of backend services for channel integrations, including email, WhatsApp, and helpdesk connections
• Further development of the broadcast and list creation system
• Bug fixing and optimization of existing features in conversation and inbox management
• Maintenance of database infrastructure and development environment

• Development of control units for the automotive industry incl. embedded software
• CAN bus, Vector Tools, CANoe
• Support of the development process according to ISO 26262
• Ensuring cyber security standards:
• Key exchange (PKI) between vehicle and control units
• Hardware Security Module (HSM)
• Communication with external service providers (international)
• Development (PCB) of measuring adapters, statistical analysis of sensors
• IoT and embedded software development, backend administration

• Maintenance of the product backlog in collaboration with the PO
• Analysis and alignment of requirements
• Creation of process documentation and status reports
• Definition of workflows
• Preparation and moderation of agile meetings

• Implemented and maintained logistics-domain applications using Angular, C#, ASP.NET, HTML5, CSS3, JavaScript, AJAX and Bootstrap
• Analyzed, designed, coded and deployed backend services and integrations using .NET, XML Web Services and RESTful APIs
• Developed automated SSIS packages and scheduled ETL jobs to support data workflows
• Built and maintained Python scripts for automation and prototyping; applied Cursor AI to build/refactor full-stack AI/ML model integrations
• Implemented unit and integration testing (NUnit) and conducted performance tuning for backend services
• Managed source control and CI/CD using GitHub, Azure CI/CD pipelines and TeamCity

• Led engineering execution: roadmap planning, capacity alignment, risk management, dependencies, and delivery tracking.
• Consolidated multiple payroll product lines into a unified SaaS platform on Dynamics 365 Business Central, enabling scalable post-merger operations and reducing operational complexity across the portfolio.
• Restructured engineering and product teams in a remote-first setting across Germany, Austria and Poland, consisting of five cross-functional units: compliance/enabling, platform, DevOps and two stream-aligned teams with total FTE depending on phase of reorganisation.
• Rebuilt the mid-level leadership layer and mentored engineering leaders, establishing a leadership pipeline and strengthening architectural decision-making across teams for scalable growth, delivery ownership and predictability.
• Designed platform foundations and system boundaries using Team Topologies aligned structures, enabling scalable ownership, clear interfaces and parallel development across distributed teams.
• Spearheaded AI transformation by implementing AI-assisted SDLC practices using SpecKit and GitHub Actions for automated, executable specifications, while delivering agentic product capabilities by securely exposing platform data and services to AI agents and copilots via RAG-based retrieval pipelines and MCP-style extensions.
• Drove modularisation of tightly coupled legacy logic into independently deployable services, improving maintainability, testability and architectural clarity while preserving continuity through targeted, low-risk extraction rather than full rewrites.
• Established observability, CI/CD and DevOps governance as platform capabilities, increasing automated compliance gates from 25% to 75% and improving deployment cadence by 40% across 15+ product versions.
• Improved operational resilience using DORA-aligned practices (lead time ↓50%, SaaS MTTR ↓85%), strengthening reliability and reducing support overhead.
• Coordinated engineering recovery for the German payroll platform during a company-wide P0 ransomware incident; restored platform continuity within 72h, validated data integrity, and rolled out hardened runbooks and automated recovery playbooks.
• Responsible for budget compliance and cost oversight in Engineering, with limited P&L responsibility and participating in the annual COGS/OPEX/CAPEX planning cycle.