Speaking & Conferences

Featured talks

Evgeny’s talks address two related but distinct challenges: how to validate software whose behavior is produced by AI, and how Quality Engineering itself must evolve when AI accelerates the creation of requirements, code, tests, and delivery artifacts.

Available topics for conference talks, leadership briefings, and workshops. Confirmed events are listed separately below.

• Redefining Quality for AI-Powered Systems

  Probabilistic, data-driven AI systems require Quality Engineering approaches that address accuracy, robustness, fairness, interpretability, changing behavior, and production monitoring.

• AI-Driven Quality Engineering: From QA Bottlenecks to Release Confidence

  How AI-assisted workflows can connect requirements analysis, test expectations, reusable artifacts, automation, change-impact analysis, regression focus, release readiness, and production learning — while keeping people responsible for judgment and approval.

• Hyper-Agile Quality Engineering™

  A talk or leadership briefing on why confidence-building becomes the constraint when AI accelerates creation—and how teams can keep intent, risk, validation evidence, release readiness, and production learning connected through Risk-Based Validation Depth, Continuous Quality Signals, Enabled Ownership, and Informed Confidence.

Speaker profile

Evgeny Tkachenko is a software engineering and quality leader with more than twenty years of experience across large-scale product organizations, including Amazon and Wayfair, as well as healthcare and startup environments. He is the author of the forthcoming Apress book Hyper-Agile Testing: Delivering Software in an AI-Accelerated World and the originator of the Hyper-Agile Quality Engineering™ framework and the Hyper-Agile Quality Loop.