Software & platforms
Domain boundaries, integration patterns, APIs, cloud platforms, scalable delivery models, and architecture that remains operable.
Global IT Domain Architect · DHL Global Forwarding
Architecture with
operational gravity.
I connect software architecture, platform engineering, AI, data, DevSecOps, governance, and security—turning complex technology into capabilities that work in the real organisation.
Profile
Technology is never only a technology problem.
I am a software architect and international technology leader with a background spanning computational neuroscience, data and machine learning, software development, cloud platforms, operations, security, and organisational transformation.
Today, as a Global IT Domain Architect at DHL Global Forwarding, I work across organisational and technological boundaries. I shape software architecture and platform capabilities, support AI-enabled solution design, and help turn governance, security, and DevSecOps principles into practical decisions.
My approach is empirical and collaborative: understand the real capability, make assumptions testable, and build systems and teams that can learn from production rather than merely survive it.
Current focus
Architecture from code to decision.
My work sits where technical depth, organisational reality, and long-term accountability meet.
AI, data & ML
AI-enabled solution design grounded in long-standing experience with scientific ML, data products, computer vision, and GPU computing.
DevSecOps
Delivery capabilities, automation, observability, security by design, and the operating models that make them sustainable.
Governance & security
Decision ownership, policies, traceability, risk, and controls designed to enable good work rather than create 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. Voting member of several cross-divisional DHL working groups.
2018—2024
Saloodo! · a DHL subsidiary
From Data/DevOps Engineer to Head of Platform Delivery
Progressed through Data Lead and Head of IT Operations, Security & Data to lead the complete technology organisation and serve on the Saloodo! management board.
- Built and led a multidisciplinary team of more than 20 specialists in development, DevOps, and testing across India, Egypt, and Cologne.
- Guided the platform from startup MVP towards a mature, event-based system integrated into DHL structures.
- Established Scrum and a living DevOps culture, improved team satisfaction from below 60% to above 95%, and reduced operating costs through infrastructure consolidation.
- Led data products for price prediction, tendering, and matching; implemented security and GDPR practices aligned with DHL policies and ISO/IEC 27001.
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
Long before the current AI wave.
Machine learning and high-performance computing are not recent additions to my profile. They grew out of my work in theoretical and computational neuroscience.
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 well before large language models moved AI into the mainstream.
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 learningComputer visionCUDAISO 27001ITILScrumGDPR
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.