Engin is a Customer Success Architect at Pulumi and has been in the IT industry for over 15 years.

He started as a Java backend developer and later migrated to the fronted development.

This is where he found his passion for CI/CD, Cloud technologies and in particular Kubernetes.

Engin is a very curious person and loves learning and testing new technologies.

Presentations

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Building AI Platforms Without Losing Your Engineering Principles

As organizations adopt generative AI, platform teams must support multi-node inference, GPU-based model serving, and growing API sprawl while keeping the developer experience simple. This session explores Kubernetes-native approaches like kserve, high-throughput frameworks like vLLM, and gateways like LiteLLM for standardized model access. Attendees will learn concrete patterns for supporting AI at scale while preserving the principles that made their platforms successful.

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