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Building production-grade AI agents
Ruslan Khissamiyev, AI & Analytics Engineer

In this session, Ruslan will demonstrate a collection of reusable AI engineering skills for building multi-agent systems with Google ADK on Google Cloud. The skills cover practical concerns such as deployment, memory, API integration, guardrails, evaluation, authentication and sensitive-data protection. I’ll also explain how I converted tested code and lessons from real projects into instructions that coding agents can apply directly to new applications.

Ruslan is an AI Engineer based in Sydney with over five years of experience building cloud and AI systems. He works with Google ADK, Gemini and Google Cloud to deliver production-grade agentic applications, including multi-agent platforms, natural-language data tools and document retrieval systems. He holds Google Cloud Professional certifications in Cloud Architecture, Data Engineering and Machine Learning Engineering, and is writing Agentic Engineering: Building Production-Grade Multi-Agent Systems with Google ADK on GCP.

What's this all about?
On the second Wednesday of every month the digital analytics community gets together for one or two short talks in an informal setting. There's lots of time for open ended discussion and to socialise. Plus there's free drinks!

Open to anyone interested in digital analytics, we have people ranging from beginners through to analytics gurus and from marketing through to technical spaces, and everything in between.