Klaus Seiler
Technology Principal @Merapar
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WORK HISTORY
Technology Principal @Merapar
Veldhoven, NL
Technology Principal responsible for the technical direction and delivery of cloud-native, data-intensive platforms for enterprise and media clients.I design and review large-scale architectures on AWS (primary), with experience across Azure and GCP, covering backend services, data platforms and applied machine-learning capabilities. I work hands-on with teams to ensure systems are reliable, secure, observable and fit for real-world traffic.Key areas of work include: • Cloud-native architecture for high-throughput video, IoT and enterprise workloads • Lakehouse and streaming data platforms: ingestion, governance, analytics and feature pipelines • Pragmatic ML and LLM integrations for recommendation, metadata enrichment and operational automation • Deep technical reviews of multi-tenant video platforms, covering scalability, resilience, security/DRM and domain completeness
EDUCATION
Technical University of Munich
Physics
Technical University Dresden
Physics
SKILLS
ABOUT KLAUS SEILER
CLOUD, DATA & PRAGMATIC AII build reliable cloud and data platforms and introduce ML/LLM capabilities only when they solve a real problem.As Technology Principal at Merapar, I bridge large-scale media systems with modern cloud, data and machine-learning practices.CURRENT FOCUS• Cloud-native architecture on AWS (primary) plus Azure/GCP, serving video, IoT and enterprise workloads.• Lakehouse data platforms (Databricks, AWS, GCP or open-source stacks): ingestion, governance, feature pipelines and real-time analytics.• Applied ML & LLM add-ons for content recommendation, metadata enrichment and operational automation.• Video enterprise architecture: Deep reviews of large multi-tenant video platforms—architecture, scalability, code health, security/DRM, and functional/domain completeness (metadata, streaming)—backed by two decades in OTT/IPTV and broadcast.HOW I WORK• Hands-on architect: Python-first (pipelines, notebooks, services) with AI agent frameworks and AI-assisted coding—speed with supervision.• Certifications & creds: AWS Solutions Architect – Professional, AWS Security Specialty, Hugging Face LLM Engineering & Prompt Engineering, plus earlier security/network/broadcast exams.• Mentor & coach: help experienced engineers up-skill in cloud, data and ML tooling; design internal learning paths.• DevOps mindset: IaC, CI/CD, observability and a “you build it, you run it” culture.EARLIER EXPERTISE THAT STILL PAYS OFFVideo encoding & streaming • DRM/CAS • Edge & IoT deployments • Network & InfoSec.These foundations help me spot operational pitfalls early—especially when new AI components meet real-world traffic.If you’re working on cloud modernisation, data platforms or pragmatic AI features—and need an architect who stays hands-on—let’s connect.
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