AI & Engineering Executive building safe, scalable systems for high-trust environments
Kanishka is a Sydney-based AI and engineering executive with a unique track record of scaling machine learning across both hyper-growth tech and high-stakes healthcare. Sitting at the intersection of platform engineering, data, and AI, Kanishka specializes in architecting systems that operate reliably when trust and accuracy matter most. Currently, as the leader of engineering, data, and AI at Sonder, Kanishka is deploying human-centered AI systems that provide care professionals with strict operational guardrails and deeper context. Before this, Kanishka spent eight years driving massive AI and organizational scale at Rokt. For attendees looking to bridge the gap between AI prototypes and enterprise reality, Kanishka brings deep technical expertise and executive insight into building production-ready systems that actually scale, work seamlessly, and earn user trust.
Foundation models continue to improve at an extraordinary pace, but building production AI systems involves challenges that benchmark scores can’t solve. This session explores why trust has become the defining engineering problem for modern AI systems. Through practical lessons from deploying AI in healthcare, we’ll examine human oversight, evaluation, governance, infrastructure ownership and the trade-offs organisations face as they move towards increasingly autonomous systems. Attendees will leave with practical frameworks for designing AI systems that are not only capable, but trusted.
