Michał Dojlidko

Michal Dojlidko is a technology leader focused on turning AI into real-world capability at global scale. He works at the intersection of AI platforms, product thinking, and engineering execution; helping organizations move from promising demos to production-grade systems that deliver measurable value.
His recent work has centered on large-scale AI inference, with a focus on reliability, performance, resilience, and the practical realities of serving models in distributed environment. Rather than treating AI as hype, he is interested in what it takes to make it usable, scalable, and operationally sound.
On stage, he shares a pragmatic perspective on building AI platform beyond experimentation, from strategy to the hard trade-offs behind running inference globally.