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AUCKLAND: November 25, 2026
Call for Papers Open
Got something real to say about AI engineering? We want to hear from you.
The AI Engineering Summit brings together the people actually building, shipping, and governing AI-powered software.
We’re looking for speakers who’ve been in the trenches — not polished vendor pitches, but honest, experience-driven talks that practitioners can take back to work on Monday.
Keynote Speaker
Dr. Baris Sarialioglu
Founder, Managing Partner, Tester You
Featured Speakers
Isuru Palliyaguru
CTO, PATtech.com
Ganesh Kumar
AI Solution Architect, One New Zealand
Tutorial Speaker
Anwar Sadat
Solutions Architect, Auckland Airport
Panel Discussion Speakers
Aamir Mulla
Principal Software Engineer, Microsoft
Aamir is a Principal Software Engineer who loves numbers and solving problems. Right now, he is focused on using AI to make Azure releases better.
Nick Davies
Associate Director | AI and Data Platforms and Engineering, Accenture
Nick is a Principal Data & AI Architect and Engineer with 25+ years’ experience leading large-scale enterprise transformation across banking, insurance, telecommunications, and technology sectors.
He specialises in streaming-first architectures, Data Mesh, Domain-Driven Design, AI-enabled engineering, and modern data platforms. His work spans strategy through to hands-on engineering – from board-level agenda setting to designing Kafka topics, Flink pipelines, and AI agents.
Currently Principal – Data & AI Architecture & Engineering at Fidelity Life, leading data strategy and execution within a $500m enterprise transformation programme.
Elijah Mondero
Staff Software Engineer, Visa
Elijah Mondero is a software engineer based in Auckland with nearly 20 years of experience building and scaling enterprise systems. Currently at Visa, he works at the sharp end of AI-driven delivery, piloting two-person agentic squads that leverage autonomous coding agents to design, scaffold, and deploy greenfield solutions. Elijah specializes in turning emerging agentic tooling into disciplined, repeatable engineering practices within complex enterprise environments.
