Technical Writing Experts in Munich

Product:

• Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
• Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
• Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
• Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
• Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.

Agent Orchestration & RAG Systems

• Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
• Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.

• Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
• Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
• Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
• Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
• Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
• Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
• Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
• Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
• Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.

Service provider: technical documentation, translations, training, consulting services D-A-CH Focus on automotive, mechanical engineering, medical devices (Life Sciences) SMB, key accounts (all automotive OEMs) Sales strategy, marketing, pricing Operational sales activities

• AI Integration (LLM & RAG): Design and build of an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data for the automated analysis of technical documents and error logs.
• Design & Implementation: Design of a robust RS-232/UART communication interface for an SBC-based embedded device to control medical shaker systems.
• Architecture & Protocol Design: Implementation of a highly maintainable software structure (OOP, SOLID) and definition of hardware-close, resilient communication protocols including multithreading and advanced error handling.
• Quality Assurance & DevOps: Test automation using xUnit, integration tests directly on the hardware target, and maintenance of technical documentation according to strict medical technology standards via Azure DevOps.

Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps

• Data Engineering: Design and implementation of scalable data pipelines
• Legacy migrations to Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines)
• BO Universe migrations to MS Fabric / Semantic Models / Power BI
• Taskforce for data-driven transformation projects involving Azure Fabric / Oracle / MSSQL

• Delivered backend systems, data processing solutions, and software integrations for enterprise business applications.
• Designed and implemented API-based services connecting internal platforms with external systems.
• Built automated processing workflows to handle large-scale structured business data.
• Improved application performance by 30–50% through database optimization, caching strategies, and backend refactoring.
• Reduced manual operational effort by 40–60% by automating repetitive workflows.
• Supported production environments through troubleshooting, monitoring improvements, and continuous optimization.
• Authored technical documentation and led knowledge-transfer sessions to support long-term maintainability.

AI-driven automation of purchasing on a printing company's website, including selecting delivery times, order options, ordering, payment, and uploading print data from the Lumiz Cloud.

• Completed an intensive AI Engineering Program focused on LLM evaluation, retrieval, agent orchestration, and multimodal workflows.
• Designed retrieval pipelines with document ingestion, semantic search, and citation-aware outputs using LangChain and ChromaDB.
• Built LangGraph-based agent workflows with state handling, clarification loops, and human-in-the-loop approval steps.
• Applied prompt engineering and evaluation patterns, including scoring logic and guardrails, to improve output quality and reliability.
• Worked extensively with Python, FastAPI, OpenAI APIs, LangChain, LangGraph, and ChromaDB in end-to-end implementations.

• Led agile transformation programmes that reduced delivery cycles by 20% and significantly increased adaptability of distributed ARTs.
• Guided leadership and teams in establishing self-organization, psychological safety and continuous improvement, resulting in higher team satisfaction.
• Moderated PI planning and Inspect & Adapt workshops to ensure transparent and aligned collaboration across nine teams.
• Built high-performing cross-functional teams and supported their skills development and trust-building.
• Linked agile transformation with intercultural team development to enable more effective collaboration among globally distributed teams and dismantle cultural barriers.
• Advised executive leadership on fostering diversity and inclusive corporate culture through targeted diversity workshops.
• Led two project teams (each with 11 developers and 2 testers) focusing on delivery excellence and high team autonomy.
• Conducted SAFe and Scrum training for over 60 staff members, achieving a 90% success rate in certifications.

• Hands-on work in data annotation, dataset QA, and labeling tools (Label Studio, CVAT)
• Conducted manual and automated checks on dataset integrity, annotation consistency, and labeling precision
• Strengthened Python, SQL, and visualization skills for data-driven evaluation of AI systems
• Developed documentation and guidelines for data annotation workflows to ensure reproducibility and clarity

• Created and refined technical and compliance-oriented datasets for AI, ensuring high-quality structured documentation.
• Conducted supervised fine-tuning (SFT) and RLHF tasks, maintaining strict alignment with industry and security guidelines.
• Produced detailed technical reports and feedback for audits and QA teams.
• Collaborated with cross-functional teams on documentation strategies for large-scale AI deployments.

• Independently write, edit, and publish 50+ page study guides for major literary works, including detailed chapter summaries, character breakdowns, quote analyses, and thematic reviews tailored for diverse audiences
• Translate complex literary content into structured and accessible resources through deep research, synthesis, and editorial precision within editorial deadlines

• Extension of the web app for regulatory content (PRIIPs) in insurance
• Process adjustments and automation for report creation and text and cost changes
• Display and verification of current performance and risk values
• Functional and regression testing with Micro Focus ALM
• UAT

• Designed and developed mechanical components for space applications, considering envelope constraints, weight targets, and interface requirements
• Performed 3D CAD modelling and detailing in CATIA V5 (Part Design, Assembly Design, Drafting), including CAD and design tolerance analysis and manufacturing-oriented design
• Created norm-compliant manufacturing drawings with full GD&T definition, including fits, surface finishes, and form and position tolerances
• Conducted FEM analyses in SIMULIA for stress, contact conditions, and thermal effects under cryogenic boundary conditions
• Supported prototype build, testing campaigns, and iterative design reviews
• Developed Python scripts for engineering calculations, data processing, and automated evaluation of test and simulation results