Panel: Engineering Reality
A moderated conversation closing the L3 Engineering Reality session. AJ Fisher leads a discussion with Dave Hall, Krishna Mundada, and Andy Kelk on when not to reach for an LLM, the real costs of AI in production, and what it means for engineering teams and careers.
AJ Fisher
AJ Fisher is a technologist and writer working at the intersection of AI, web, media and digital innovation. A regular speaker at Web Directions conferences, AJ brings a pragmatic, builder-first perspective to how emerging technologies reshape software engineering practice. He writes at ajfisher.me, where he explores everything from agentic coding workflows and local LLM setups to the strategic implications of AI adoption in the enterprise.
Dave Hall
Dave Hall is the Principal Consultant and Founder of Dave Hall Consulting, a Canberra-based technology consultancy with over two decades of experience delivering automation, cloud, and DevOps solutions to clients ranging from early-stage startups to Fortune 50 enterprises.
His work focuses on using automation to drive organisational efficiency and on matching the right tool to the problem at hand. An experienced conference speaker and keynote presenter, Dave created Gata Router to solve a real-world routing challenge and ended up with a case study in pragmatic AI engineering.
Krishna kanth Mundada
Krishna is a senior full-stack engineer at Versent working across cloud, AI, and enterprise platforms, with 12 years of experience building systems that actually have to work in production. He’s spent the last two years quietly accumulating an AI tax he didn’t know he was paying and building workflows to stop. An active voice in Melbourne’s tech community as a speaker and organiser, he has a habit of turning uncomfortable engineering observations into talks that make rooms go quiet before they start nodding.
Andy Kelk
Andy Kelk has spent 25 years building and scaling technology organisations. In senior leadership roles at REA Group, Marketplacer, Australia Post, and Wesfarmers OneDigital, he has architected platforms handling billions in transactions and grown engineering teams from 15 to 100+. He’s led AI adoption programmes across engineering organisations and seen firsthand how the human side of that change is consistently harder than the technical side.