GitHub Actions Experts in Cologne

Project: Introduction of statutory-compliant electronic invoicing (outbound, Germany) in SAP for an international technology group.

• Project management: Planning, steering and reporting of the E-Invoicing outbound rollout across all affected business areas, including budget and resource coordination.
• UAT: Structured user acceptance test with key users per business area, test cases per invoice scenario, and consolidated test results for decision making.
• Defect management: Handover and tracking of defects in Jira, including validation of the generated invoices against the statutory schemas.
• Cutover, go-live and hypercare: Readiness checks and cutover planning aligned with the statutory deadlines, coordination of go-live and stabilization during hypercare.
• Stakeholder management and reporting: Alignment with Finance, Tax, business departments and IT, preparation of status reports and decision papers, and consistent follow-up of open items.
• Change management and documentation: Communicated process changes to the business departments, enabled key users, and created process and compliance documentation to ensure traceability and audit readiness.

• Unified AI initiatives through the central coordination and integration of artificial intelligence projects to increase efficiency and business value.
• Identified and prioritized AI use cases through business process analysis and translated them into structured product backlogs and roadmaps.
• Led change management activities, including the introduction of new digital tools, communication strategies, and training concepts to support cultural change.
• Managed requirements and processes through end-to-end requirements analysis, process modeling, and organizational optimization.
• Scaled agile practices (Scrum, Kanban, OKRs) and promoted cross-functional collaboration and continuous improvement.
• Supported company-wide digital transformation by leading technical change initiatives and strengthening collaboration models.

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

• Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
• Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
• Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

• Built more than 15 frontend applications and more than 10 backend services across internal tools, back-office workflows, and external portals for installers and end customers
• Automate build and release workflows with TypeScript and Azure DevOps
• Mentor junior engineers through code reviews and technical guidance
• Integrate AI-assisted and agentic development practices into engineering workflows
• Coordinate user experience decisions with UX designers

Tech Stack: Claude Code, Codex, AWS (S3, Lambda, AppSync, Resolver), Next.js App Router, ReactJS, NuxtJS, Vue.js, Storybook, JavaScript, TypeScript, GraphQL, Azure DevOps

PFS-Matching-App

• Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
• Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
• Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes

• Spearheaded strategic and operational oversight of IT infrastructures to accelerate innovation and ensure audit-proof delivery.
• Acted as key liaison between management, business departments, and engineering, actively engaging in coding, cloud architecture, and CI/CD to resolve critical path challenges.
• Engineered and implemented an AI Governance Program to manage risks and ensure compliance with the EU AI Act, reducing AI use-case approval times from 8 to 3 weeks.
• Delivered and deployed secure AI systems into production (RAG-based knowledge platforms), resulting in a 35% decrease in standard support ticket volume.
• Established robust security standards and governance frameworks for APIs (OAuth2/OIDC, mTLS) and cloud platforms (AWS/GCP) to guarantee compliance and system integrity.
• Hardened cloud infrastructure by implementing Zero Trust principles and a comprehensive observability stack (logging/alerting), achieving 99.9% availability in a 24/7 on-call environment.

• Development of monitoring and control systems for public transportation
• Development of a platform for real-time monitoring of passenger information and ticketing systems, as well as an application for remote control and status monitoring of access control systems
• Development of dynamic forms, complex tables, real-time dashboards (SignalR), and reusable frontend components (using Storybook)
• Implementation of REST interfaces in the backend
• Deployment to the Microsoft Azure Cloud
• Technologies used: Angular 20, Angular Material 3, Dev Extreme, Storybook, C#/.NET 10

• Delivered AWS-authorized content through AAI program
• Facilitated group and 1-on-1 mentorship sessions
• Coached non-technical learners into cloud career paths
• Created learning materials aligned with AWS Skill Builder and AWS Academy labs

• Designed and deployed a cloud-based grocery list app using AWS EC2 for hosting and RDS for persistent data storage, achieving 99.9% uptime across all test environments
• Reduced average response time by 2× through efficient deployment logic and optimized database queries, resulting in a smoother user experience across devices
• Utilized AWS (EC2, S3, RDS, IAM), Azure basics, Terraform, CloudFormation, Docker, Kubernetes basics, Jenkins, GitHub Actions, TCP/IP, DNS, Python, Bash scripting

• Hybrid role as the first software engineer in the company to bootstrap the organization, laying out technical foundation and advising management on organizational aspects.
• Set up the SaaS platform architecture, selected languages and tools, and designed processes to deliver customer value quickly and reliably.
• Designed and implemented build and continuous deployment pipeline with multi-tenant approach enabling extreme scaling of the SaaS platform.
• Established initial ITSM and support processes, provided monitoring and alarming, and participated in the on-call team.
• Proposed new approaches to scale the platform and improve backend interfaces to mitigate bugs and communication overhead.
• Mentored new employees and served as a trustful team member and lateral leader.
• Conducted interviews for technical roles.
• Used technologies: Typescript, Node.js, Bash, Google Cloud Platform (App Engine, Cloud Run, Cloud Functions, Google Endpoints, Firebase), GitHub Actions, Docker, Terraform, MongoDB, Firebase, REST APIs, GraphQL.