LibreOffice Experts in Germany

Evaluation and selection of a new endpoint management platform for an environment with around 50,000 clients. Support for a manufacturing company in evaluating a future endpoint management platform as a possible replacement for the existing client management solution. Conducting a structured software selection process including proof of concept as well as preparing the decision basis for the Enterprise Architecture Board (EAM). Defining the technical requirements and evaluation criteria and creating a short list of possible solutions (Tanium, Baramundi, Microsoft Intune / MECM). Planning and supporting the technical proof of concept as well as evaluating the architecture and operations aspects of the different platforms. In addition, evaluating tools for migrating existing software packages from the Ivanti DSM environment. Comparing and testing IDERI Move and PACE for the automated transfer of the existing package structure to the new platform, with the goal of significantly reducing migration effort. Support in selecting the required Tanium modules as well as preparing the decision documents for the Enterprise Architecture Board.

Tools: Tanium, Baramundi, Microsoft Intune, Microsoft MECM, Ivanti DSM, IDERI Move, Pace, Windows 10, Windows 11, Windows Server. VDI

• Strategic consulting, technical consulting, interim management, and training
• Management consulting and development of application solutions through interdisciplinary solution approaches
• Employee and team development as well as innovation and communication management

• Requirements analysis and replacement of local SharePoint as CMDB with open source NetBox to prepare for deploying Cisco ACI (SD-WAN) with Microsoft Azure
• Coordination with systems like Checkmk and Grasp
• Introduction and coordination of cmdbsyncer as CMDB data hub; further development of the syncer with Kuhn & Ruess GmbH
• Implementation of SNMPv3 on AIX LPAR/VIO, Linux, Windows, SAN/storage, network components (Cisco switches, F5 load balancers, Palo Alto and CheckPoint firewalls, iLO boards)
• Deployment and further development of the network scanner JDisc in cooperation with the vendor (Utimaco HSMs, Linux detection)
• Integration of NetBox, JDisc, and cmdbsyncer into the infrastructure using Docker containers
• End-user training: preparation, creation of materials, and delivery
• Creation of data flow and network diagrams
• Population and planning of IPv4/IPv6 with NetBox including VLAN import
• Dual-stack setup of servers and clients with IPv4 and IPv6
• Connection of REST interfaces for Checkmk, JDisc, vSphere, HMC, i-doit, NetBox Software: Confluence, Jira, MS Office 365, Teams, i-doit, NetBox, JDisc, cmdbsyncer, DB Visualizer, vSphere, HMC

• Analysis of technical and economic feasibility
• Creation of a detailed project plan including time and resource management
• Requesting and evaluating offers, selecting components, and managing suppliers
• Coordination of all involved trades (e.g. electricians, installation companies)
• Monitoring the construction work and ensuring deadlines, budgets, and quality standards are met
• Acceptance and commissioning of the PV system including documentation
• After project completion: optimizing monitoring and supporting grid connection

• Implemented data/feature pipelines and automated validation/reporting for multi-million-row insurance datasets.
• Built production-grade image processing to detect fabric defects; delivered maintainable, well-tested Python code and concise reports.

• Selected clients: b.telligent, Jugendfeuerwehr, Stackable, 1K5

• Conducted Excel trainings and supported the reorganization and setup of cost controlling in wholesale trade.
• Excel training content: spreadsheet setup, data validation, date calculations, logical formulas (IF & IFERROR), lookup functions (VLOOKUP & XLOOKUP), name manager, error checking, grouping, file, workbook and sheet protection, sorting and filtering, subtotal calculations, pivot tables, Get and Transform (Power Query), Power Pivot, formulas and functions, creating links (GETPIVOTDATA).
• Review of the existing data structure, organization and creation of improvement suggestions.
• Support in implementing all measures.
• Answering questions about MS Excel.

• Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
• On-premise AI solutions with high compliance and performance requirements.
• Architecture decisions, operational setup, strategic prioritization & deployment.
• Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
• Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.

• Implementation of a full-stack application with Angular as the frontend framework and Java as the backend language
• Use of the Swagger OpenAPI specification for REST communication between the frontend and backend applications
• Control of a card printer via the Nexus Card SDK framework
• Design and implementation of card management software with a web interface and a JavaFX module for printer monitoring
• Use of Cucumber tests for test automation and creation of test artifacts to test outside the development environment
• Use of Wireshark for network investigations to analyze the API of a third-party product and to monitor the REST API of the self-developed software

• Analysis
• Consulting
• Software design
• Development
• Automation
• Testing
• Deployment
• Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
• Developed best practices for working with agentic systems and AI in practice
• Created code templates

• Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.

• Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.

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.

• Development of a B2B shop based on Magento 2
• Plugin research and implementation, e.g. custom prices per customer
• Implementation of individual customizations
• Quality assurance
• Release management
• Collaboration with the marketing team
• Technologies: Magento 2, CSS, JavaScript, PHP, Docker, Git

• Introducing 5 different process applications for various teams

• Release planning: scope and time management

• Resource/capacity planning

• Conducting sprint planning / retrospectives

• Increment planning (multiple sprints)

• Preparing steering committee meetings / reporting to the executive board

• Coordinating / aligning with external suppliers / deliveries

• Multi-project resource planning

• Aligning with the business unit and development team

• Identifying best practices with IBM BAW

• Cost control and planning for the project team and external service providers

• Collecting KPIs using LogScale

• Analyzing application errors with LogScale / queries

• Defining user stories / aligning requirements with the business unit and development team

• Testing and defect tracking

• UI/UX design of the application

• Preparing and facilitating brown-paper workshop

• Test concept, test data, test organization, test execution

• Recording team velocity / metrics

• Executing tests

• Scripts for automated testing

• Organizing tests with the business unit and IT

• Recording and prioritizing defects

• Setting up and operating the application

• Setting up application monitoring with LogScale dashboards

• Checking health endpoints with PowerShell

• Post mortem analysis

• Setting up incident management

• Setting up problem management

• Analyzing errors using LogScale queries and dashboard

• Pre-processing data for AI

• Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG

• Installing runtime environments for LLMs (large language model)

• Evaluating various LLMs

• Installing RAG (retrieval augmented generation) and integrating with LLM

• Extracting unstructured data with LLM and RAG

• Project based on IBM BAW (Business Automation Workflow), WebSphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, PowerShell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber