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

23x

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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23x

The Ralph Wiggum Loop: How Autonomous AI Loops Built My Serverless SaaS While I Slept

I got tired of babysitting my AI coding assistant. Every five minutes: "Should I continue?" So I built the "Ralph Wiggum Loop," named after a Simpsons character. It's a loop that feeds a PROMPT.md file to Claude Code until everything works as defined. Failure becomes feedback. Each crash teaches the next iteration.

Using this technique, I built a complete serverless URL shortener on AWS by letting AI iterate against Pulumi's pass/fail deployment criteria. 

I'll share how this autonomous loops work and how you can use it too.

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