Senior Cloud and AI Infrastructure Solutions Specialist, Intel, Munich
The question is not whether to adopt AI. It is what the infrastructure underneath it costs.
At Intel I lead datacenter transformation and private and hybrid cloud architecture work for tens of enterprise and government customers, and for OEMs, across EMEA. The work covers compute and software defined storage: which CPU, which accelerator, which storage backend, and what each choice costs once the pilot ends.
Before Intel, six years at Dell EMC, first as a level two support engineer on enterprise storage, then as a solutions architect. That period taught me how infrastructure fails in production, which is a different education from how it behaves on a slide.
Accelerator selection, capacity sizing, and what it actually costs to run inference at scale. The question most enterprises answer too late.
I designed and delivered several customer proofs of concept on edge AI using Intel AMX, validating infrastructure strategies with measurable improvements.
Hybrid and multi-cloud design, migration planning, and total cost of ownership across performance, compliance, and budget.
Translating infrastructure choices into commercial consequences for the people signing off on them.
2017 to now
Spearheaded datacenter transformation and private/hybrid cloud architecture initiatives for tens of Intel Enterprise and Government potential customers across EMEA including automotive, industrial, financial, telco and public sector accounts. Driving tailored selection of Intel CPU SKUs, AI accelerators, workload accelerators, and storage backends to maximize performance and ROI.
Designed and delivered several customer proofs of concept on edge AI using Intel AMX, validating infrastructure strategies with measurable improvements.
Advised enterprise and public-sector organizations on cloud, AI, and infrastructure modernization strategies, helping align technology investments with long-term business objectives.
Partnered with senior executives and key stakeholders to shape scalable digital transformation initiatives, strengthening operational resilience and innovation capabilities.
2010 to 2016
Designed and implemented enterprise high-end and intermediate tiers storage and server solutions tailored to customer datacenter modernization and scalability requirements.
Supported global technology partnerships through integration of Dell-EMC storage systems in hybrid cloud and AI infrastructure environments.
Delivered advanced technical support for enterprise storage and infrastructure environments, ensuring system stability and minimizing operational disruptions for global customers.
2006 to 2010
Supported the delivery of undergraduate and postgraduate courses, fostering an engaging learning environment and strengthening student academic performance.
Contributed to research initiatives through literature reviews, data analysis, and technical investigations, supporting the advancement of high-quality academic publications.
Doctorate in IT Systems Engineering at the Hasso-Plattner Institute under Professor Christoph Meinel. The thesis uses machine learning to model and predict the overhead of live migration: moving a running virtual machine from one server to another without switching it off.
Every round costs time, network traffic and, at the end, a pause. That overhead is what the research models and predicts.
For research collaboration, speaking, and advisory work.