SBOM Experts in Germany

• Led the subproject for implementing Vulnerability Response as part of DORA
• Documented the current processes in compliance, risk & security
• Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
• Agile management of the integration service provider, the technical department, and the company's cross-functional teams
• Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
• Integrated GitLab Ultimate for importing and processing SBOMs
• Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
• Calculated multiple risk scores and priorities
• Defined dashboards and reports (Workspaces, Performance Analytics)
• Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)

UEF 3.0 · Semantic Government Overlay (SGO) · Autonomous Systems (UAS / dual use)

• Designed: Semantic Government Overlay (SGO) – AI-guided administration without replacing existing specialist procedures. Read-only semantic layer over registers and specialist processes based on the Federal Information Management (FIM). Decision authority remains with the case worker (architecture principle).
• Developed: Reference architecture with source-backed, derived statements (Executable Ontologies OWL/RDF/SHACL). Technically guaranteed purpose limitation and no-write-path principle in specialist data – auditable, without a central data pool.
• Anchored: Regulation as a design principle: EU AI Act (high-risk obligations for public-sector AI, fundamental rights impact assessment under Art. 27), GDPR, NIS2, and administrative automation limits (§ 35a VwVfG, § 31a SGB X) as technical control points in the architecture.
• Created: Methodical tool for pilot organizations: data pipeline assessment (phase 0), compliance blueprint, and management summary as a decision-ready package for public administration.
• Specified: UEF 3.0 as a successor architecture to TOGAF – decision paper, canonical ontology, six-layer architecture, read/actuate boundary, federation registry, terminology concordance, and release delta as a closed specification status.
• Architected: AI-native mission OS for autonomous UAS and ground robotics as a tactical layer on top of a separately approved autopilot. Run-time assurance according to ASTM F3269-21 (Simplex pattern): the verified safety controller keeps authority, the AI function provides suggestions.
• Designed: Three-tier architecture – Tier 0 autopilot with 650 Hz flight control on RTOS, Tier 1 AI OS with semantic world model and multi-agent cluster, Tier 2 swarm and ground mesh. Zenoh as the primary fabric, MAVLink as the only authenticated command path (single writer). Result: graceful degradation – loss of the mission, not of the aircraft.
• Secured: Two-gate chain on the read/actuate boundary – governance gate (can-question: AI Act risk class per actuation, enforced human oversight under Art. 14, immutable log) before the RTA safety monitor (is-it-correct question: flight envelope, geofence, energy reserve) with revert to the baseline controller.
• Anchored: Dual-use architecture with common core and build-time fork instead of runtime switch. Three separate legal levels: civil variant – UAS under the EASA Basic Regulation (EU) 2018/1139 with the limited applicability under Art. 2(2) of the AI Act, ground robotics under the Machinery Regulation 2023/1230 with the full high-risk obligation chain, Cyber Resilience Act for both; unarmed carrier variant as defense material under AWG/AWV and Dual-Use Regulation 2021/821 (BAFA approval); armed variant under KrWaffKontrG. Each variant lives under exactly one dominant legal regime. Evidence base: AI BOM, SBOM, and complete data lineage.
• Analyzed: System analysis and realignment of grown engineering system landscapes. Approach concept for consolidation without migration – semantic layer over the existing sources instead of data transfer. Result: decision-ready implementation concept including an evaluation model for the target architecture.

Conceptual design and implementation of a modular customer portal based on Laravel.

The focus was on defining a maintainable system architecture with broad use of Domain-Driven Design principles (within the Laravel architecture), introducing automated quality assurance processes (test strategy, CI integration), and preparing an auditable operation (logging, traceability of changes) in an AWS-based infrastructure, taking IT security standards according to NIST and process requirements according to ISO 9001 into account.

Achievements:

• Analysis and structuring of business requirements in close coordination with stakeholders
• Documentation of the system architecture and infrastructure incl. change and release management
• Design and implementation of an interface for integrating SAP systems
• Planning and implementation of automated tests for quality assurance
• Implementation of security and compliance requirements, including SBOM generation, software license management, and QA processes
• Technical consulting and support for the internal IT team
• Introduction and establishment of AI-supported development processes (Spec-Driven Development), including AI-readable specifications, integration of AI instructions into the development environment, and training developers for productive use

Technologies and tools: SAP, Docker, ddev, PHP 8.4, Laravel, Filament, C4 Model, Architecture Decision Records (ADR), Mermaid, PlantUML, Spec-Driven Development, Claude, GitHub Copilot, Codex

• Development of a mobile app to slow down the progression of dementia

• Coordination of software development (TPO – Technical Product Owner)

• agile requirements management (agile requirements engineering)

• prioritization of tasks in consultation with stakeholders

• stakeholder management

• documentation and management of the software architecture

• conducting PoC for technology decisions

• Documentation as Code

• docToolchain, arc42, req42, aim42, tpo42, C4 model, Archimate

• ADR, Architecture Decision Records

• Docker

• Pre-Commit, Conventional Commits, Semantic Versioning

• Liberating Structures, Agile Principles, Holacracy, Sociocracy 3.0

• Mobile frameworks

• AI developing interfaces, LLM

• Cordova, Unity

• Google Gemini, OpenAI, Character.AI

• Prompt development

• Technical lead for CI/CD modernization in the "Group Archive 4.0" system
• Architecture and steering responsibility according to the statement of work
• Setting up modern build and deployment processes
• CI/CD coaching and enablement of the internal development team
• Integration of modern DevOps, security, and compliance standards
• Ensuring technical governance, including collaboration with internal audit and BaFin
• Independently executing the modernization measures
• Supporting the team in adopting new technologies and methods

• Analysis and further development of the security architecture.
• Design and development of Splunk apps and technical add-ons (TAs).
• Development and implementation of security use cases in the Splunk SIEM.
• Creation and maintenance of incident response playbooks in Cortex XSOAR.
• Support of technical proof-of-concepts to assess new detection technologies.
• Lifecycle management and operational support for Splunk and Cribl systems.
• Deployment and scaling of Splunk indexers in hybrid data center environments.
• Maintenance, update planning, and optimization of Cribl Stream & Edge for log ingestion and data routing.
• Creation of dashboards and reports to visualize security posture and system availability.
• Technical analysis to assess network topologies and data flows.
• Integration of new data sources via Cribl Stream/Edge and heavy forwarders in cloud and on-prem environments.
• Integration of external security components such as Cortex XSOAR (SOAR) and user behavior analytics (UBA).
• Implementation of complex correlation rules in Splunk Enterprise Security (ES).
• Connection of external ticketing systems via mail gateways and REST APIs.
• Automated deployment of use cases, dashboards, and detection rules via Git and Ansible.

• Testing the SekIDP and related components
• Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript

• PRISMA project
• Ansible automation
• Windows third level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019

• Development of iOS apps in Swift
• AI-supported SW development using Vibe Coding with Claude Code
• Web applications through Vibe Programming
• Use of Swift, Xcode 15, Claude Code, Proxmox, GitLab, Visual Studio Code, Cursor, Doors, ClearCase
• Use of MS Project, OpenShift, Docker, Project Server, PageMaker, CRM, MS SQL Server
• SW techniques: UML, BPMN 2.0, ERD, client/server technology

• Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
• Build pipelines for Go, Java and JavaScript
• Provisioning of 100+ components
• Quality assurance via GitLab Code Quality and SonarQube
• Checks for dependencies, licensing and vulnerabilities
• Release creation via Jira and ServiceNow
• SBOM, Supply Chain Security, distroless images
• PoC GitLab Runner: Nomad vs. Kubernetes
• Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman

• Fixing issues in the application logic

• Covering the changes with component tests

• Analyzing and documenting the data structure of the different applications

• Analyzing and documenting the parameters for configuring the applications

• Analyzing and documenting the necessary measures to ensure the operation of the applications

• Analyzing and designing the separation of the individual database structures

• Analyzing and estimating the effort for planned enhancements

• Analysis, maintenance and documentation of a heterogeneous legacy system landscape for a print media service provider

• Technology: C#, VB.NET, C, Python, Microsoft SQL Server, Visual Studio 2010, JetBrains Rider, Visual Studio Code, arc42, Draw.io, Jira, GitLab

• Developed internal tools using React, Node.js and Python for automating FOSS license analysis and compliance workflows
• Also served as an IP Analyst for IP Scans and SBOM management
• Contributed to SAP’s open source CI/CD project Piper (Golang), supporting engineering teams in integrating IP Scan steps into their pipelines

• Successfully implemented vulnerability management with DefectDojo
• Advised on and implemented technical and procedural aspects of vulnerability management with DefectDojo
• Provided guidance on implementing a secure software development lifecycle
• Skills: GitLab, DefectDojo, Vulnerability Management, SCA, SAST, DAST, Python, Kubernetes, Argo CD, Docker, AWS, Azure, WhiteSource/Mend, Greenbone

• Deputy lead of the 10-member information security management team in a highly regulated environment (DORA, VAIT, BAIT)
• Direct reporting lines to the CIO of the Gothaer Group and the management board of Gothaer Solutions
• Regular member of the Group Risk Committee and the Compliance Committee
• Managing and coordinating information security processes within the company and with IT service providers
• Leading task forces for handling information security incidents
• Contributing to IT emergency and business continuity management