Software & platforms
Domain boundaries, integration patterns, APIs, cloud platforms, scalable delivery models, and architecture that remains operable.
Curious Technologist · Builder · Architect · Security-Minded Engineer
Still curious.
Still building.
I am a Global IT Domain Architect at DHL Global Forwarding. My work spans software and platform engineering, AI and data, DevSecOps, security, and technology leadership—and I still like to stay close enough to the code to understand what really happens.
Profile
I have never been very interested in staying in one box.
I started out in computational neuroscience, building software and working with neural networks, large datasets, computer vision, and GPU computing. From there, my work moved through data and machine learning, cloud platforms and DevOps, information security, technology leadership, and enterprise architecture.
Today, as a Global IT Domain Architect at DHL Global Forwarding, I work across business and technology domains. I shape software architecture and platform capabilities, support AI-enabled solution design, and help make governance, security, and DevSecOps useful in everyday engineering rather than separate from it.
I like to understand how things really work, make assumptions testable, and build systems and teams that can learn from production. Alongside my formal roles, I have remained hands-on through open-source and independent technical work in software, systems, automation, and AI.
Current focus
Architecture from code to decision.
I work across the layers, from technical detail to the decisions and responsibilities around it.
AI, data & ML
AI-enabled solution design grounded in experience with neural networks, scientific ML, data products, computer vision, and GPU computing.
DevSecOps
Delivery capabilities, automation, observability, security by design, and working practices that teams can sustain.
Governance & security
Decision ownership, standards, policies, risk, and controls that help teams do good work without becoming ceremonial gates.
Experience
From neural systems to global systems.
A career shaped by moving between disciplines—and learning how to make the connections useful.
2024—today
DHL Global Forwarding · Business IT Architecture
Global IT Domain Architect
Working across business and technology domains on software architecture, platforms, DevSecOps, AI-enabled solutions, governance, and security. I also contribute to cross-divisional standards and control work around secure software development, threat modelling, AI security, and emerging technology.
2018—2024
Saloodo! · a DHL subsidiary
From Data/DevOps Engineer to Head of Platform Delivery
Progressed through Data Lead and Head of IT Infrastructure, Information Security & Data to lead the complete technology organisation and serve on the Saloodo! management board.
- Built and led an international technology organisation of approximately 30 people across Germany, India, and Egypt, covering software engineering, DevOps, data, testing, and quality assurance.
- Took the platform from a young startup environment towards an enterprise-grade DHL application, integrating Group security standards, IT controls, data protection, and operational resilience into everyday delivery.
- Established Scrum and a living DevOps culture, improved team satisfaction from below 60% to above 95%, and reduced operating costs through infrastructure consolidation.
- Retained responsibility for platform security, including vulnerability findings, remediation, incidents, and the practical application of DHL policies, standards, and control frameworks.
2010—2018
German Neuroinformatics Node · LMU Munich
Senior Systems Developer & Researcher
Built open scientific infrastructure for versioned data management, conference workflows, search, annotation, and reproducible research. Developed GIN—a GitHub-inspired data platform for neuroscience—alongside tools in Go, Python, Scala, C/C++, JavaScript, Kubernetes, and Elasticsearch.
2006—2010
Bernstein Center for Computational Neuroscience · Freiburg
Developer, Project Manager & Systems Administrator
Developed scientific analysis and visualisation tools and operated Linux HPC infrastructure for computationally intensive neuroscience research.
Computational neuroscience · PhD, LMU Munich
Science, AI & teaching
AI and machine learning have been a continuous thread.
My work with AI began in theoretical and computational neuroscience and later continued through data science and today's generative AI and large language models.
I modelled neural networks, analysed large neuronal datasets, explored natural-image statistics, built computer-vision systems, and used CUDA, MPI, Python, Matlab, C/C++, OpenCV, and scientific computing tools. That technical background still shapes how I approach AI-enabled solutions, their architecture, governance, and security today.
Teaching has remained equally important: from university courses in C/C++, Python, mathematics, data analysis, and colour physiology to Google Summer of Code mentoring and, later, building international engineering teams.
Dr. rer. nat.
Theoretical Neurobiology · LMU Munich
Diplom
Computational Neuroscience · University of Freiburg
Technology range
Broad enough to connect the layers.
ArchitecturePythonGoJavaScriptJavaScalaC/C++AWSKubernetesDockerTerraformArgo CDCI/CDGitLabObservabilityData platformsMachine learningGenerative AIComputer visionCUDASecurity architectureThreat modellingITILScrumGDPR
Beyond work
Stories, bicycles, places—and the occasional circuit board.
I explore landscapes and local history by bicycle, write illustrated travel stories, and enjoy finding the layers beneath apparently ordinary places. Books, museums, photography, and electronics projects tend to follow me home.