Software Deployment Experts in Germany

As a project coordinator in development projects (consisting of software and hardware), I was responsible in an advisory capacity for creating recommendations and organizational framework conditions in the areas of reporting, project scheduling, progress tracking, resource allocation, and presentation of results.

• Technology stack: Teams, Azure DevOps, Android
• Keywords: software, hardware, AI, MDM, Kanban, requirements specification, functional specification, SaaS, ergonomics, health, medical device

• IT systems: Azure DevOps, SharePoint, Opal/Repost, JustinMind, Monday, SAP

• Analysis of requirements for branch software

• Coordination of intercultural teams

• Partly agile project organization

• Master data management / DMS

• UI/UX design and mockup creation

• Requirements documentation

• Digitalization of signatures

• Stakeholder management and workshop facilitation

• Billing/bank transfer

• Business analysis / requirements engineering

• Building the data center in Oberkochen (defense area)
• Planning the fiber optic ring, simulation of Wi-Fi coverage
• Cable routing plan for WAN and LAN cables for office and production (infrastructure)
• Adaptation of the SAP system (R3) for the Oberkochen site (software)
• IT transformation of the SAP system to SAP HANA
• Planning network infrastructure and server technologies in the SAP environment
• Pré-sales support and setting up change management
• Independent coordination of utilities according to time, budget and quality
• Mapping the project in MS Project and SERVICENow
• Development and design of hardware and software
• Demand management and portfolio management
• Building a risk register and migration plan
• Preparation of payment-supporting documents in coordination with the responsible finance and commercial functions
• Budget: 5 Mio. - 34 FTE

• Technical leadership and further development of a team of 28 IT staff (internal & external) in the areas HelpDesk/HelpLine, RHEL (Red Hat), MUREX (trading system & applications), SAP basis operations
• Managing external service providers (including FI-TS for SAP basis operations)
• Personnel, resource and budget planning for the IT department and projects
• Introducing and establishing regular communication formats (weekly status meetings, team and cross-department meetings)
• Ensuring application operations in a hybrid environment (Windows/Linux with database and web/application servers)
• Supporting transformation projects to modernize the application landscape (e.g. DevOps approaches)
• Setting up and implementing a digital IT procurement for hardware & software (e.g. with DELL)
• Developing and managing the "IT Operations DOS" department based on corporate strategy
• Preparing management reports & decision papers on IT projects, optimization potential and automation opportunities
• Representing the department in the advisory boards of the Rentenbank and ensuring regulatory compliance (BaFin §44, GDPR, BSI, MaRisk)

As project manager for the Odoo implementation at a small company, I was responsible for designing, implementing, and training a fully integrated CRM and accounting system. Through structured requirements analysis, precise data migration, and targeted change management, I was able to complete the rollout in just eight weeks. The project led to a significant reduction in manual tasks, faster business processes, and increased real-time transparency.

Main Responsibilities

Requirements analysis and process mapping Configuration of Odoo modules: CRM, Sales, and Accounting Data migration (Excel/CSV → Odoo) and quality control Creation of workflows, automated email rules, and dashboards Conducting training sessions and providing support after go-live Project coordination (budget, schedule, stakeholder communication)

Key Achievements

Full implementation of the Odoo suite within the set timeframe (8 weeks) 30% reduction in accounting time and 25% acceleration of the lead-to-sale flow 100% customer satisfaction after go-live, based on survey results Successful migration of 100% of existing master data without data loss Establishment of a sustainable support infrastructure (3-month post go-live support)

Impact

Improved decision-making through real-time dashboards and automated reports Increased efficiency and cost savings (≈ €8,000/month) Scalability for future growth (additional modules can be integrated seamlessly) Strengthened sales and finance departments through seamless process integration

This summary highlights how I created concrete and measurable value for the company through structured project work, technical expertise, and targeted training.

Rollout of printers and PCs

• Effective management of external service providers to ensure smooth operations.
• Planning and implementation of a global rollout for 150,000 clients.
• Carrying out a comprehensive risk analysis, including overall risk, site-specific risks, and security risks.
• Successful consolidation of two existing ServiceNow systems to optimize service management.
• Close coordination with program management to achieve the project goals.

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

• Administration and further development of the M365 environment including Teams, Exchange Online, Intune and SharePoint Online
• Development of dashboards for performance monitoring using Microsoft Power BI
• Implementation of user requirements and processes with low-code/no-code technologies (Power Apps, Power Automate)
• Use of Jira and Azure DevOps to plan and implement user stories in an agile project context
• Participation in daily stand-ups, sprint planning, sprint reviews and retrospectives as technical point of contact
• Planning and implementation of security policies using Azure Conditional Access and multi-factor authentication
• Configuration and deployment of clients and applications via MECM (SCCM) and Baramundi

Windows Administrator, software deployment, user support, Azure / Entra administrator, hardware support, software packaging, defining and introducing processes

Tasks performed:

• Handling incidents, service requests & changes in the Matrix42 ticket system
• Handling / resolving incidents
• User creation / permissions
• Installation and patch management for Windows
• Permissions and license management in Entra
• Process improvement and documentation

Tools and methods used: Windows Server 2016 / 2019, Active Directory, Windows 11, Office 365, Azure / Entra, Ivanti, VMWare & ESX, Dell & Kyocera Minolta & Zeus hardware support

• Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
• Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
• Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
• Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
• Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
• Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
• Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
• Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
• Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
• Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
• Integration of RESTHeart to create a REST API for MongoDB.
• Build an Angular frontend to simplify data queries and master data maintenance.
• Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
• Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).

• IT Senior Consultant (bank infrastructure, Active Directory, Azure, security, PKI)
• Planning, design, and implementation of cloud solutions based on Microsoft Azure / M365
• Teams, M365, and cloud services
• Vulnerabilities, threats, attacks
• Security analysis, security policy, security architecture
• Conducting meetings and presentations at various management levels
• Organizing and leading team meetings to improve internal communication
• Tools: PowerShell, Active Directory, GPO, DNS, DHCP, scripting

• 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

Senior IT Integration Manager for an international transformation program, focusing on IT integration, data migration, stakeholder management, dependency steering, governance and management reporting.

Bullet points

• Steering IT integration and transformation activities in an international enterprise environment
• Coordination between business, IT, specialist departments and external service providers
• Planning and tracking roadmaps, milestones, dependencies and risks
• Preparing status reports, decision papers and management updates

• Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
• Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
• Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
• Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.