How to use AI to test faster/ Quality Assurance Engineer/ AI and I

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In this episode, meet Artsem Nikulin, a Senior Data Quality Engineer. Starting as a functional tester, Artsem quickly moved into data platforms, automation, and quality engineering, where he ensures that businesses can trust the data they use. He shares how generative AI helps him accelerate test data generation, automate migration projects, and even act as a copilot in code reviews, reporting, and CI/CD pipelines.
You’ll also hear his perspective on the future of QA: why AI won’t replace engineers but will become their teammate, how “human as a judge” remains essential for data and model validation, and why continuous learning matters more than ever in a field where “AI never sleeps.”

This video is part of our "AI and I" series – real stories from real engineers using AI today.
No hype, just hands-on experience, practical insights, and motivation to evolve

Artsem on LinkedIn:   / artsem-nikulin-7391241aa  

NAVIGATION
0:00 – Intro
1:14 – From Tester to Senior: My QA Journey
3:03 – The Turning Point That Brought AI Into My Work
4:37 – AI Tools I Use Every Day in QA
7:48 – How AI Transformed My QA Workflow
15:15 – The Biggest AI Impact on My Job
17:26 – How AI Is Redefining QA Roles
22:02 – One Engineer + AI = A Whole QA Team
26:32 – When AI Fails in QA (and What I Learned)
32:17 – Why I Never Stop Learning in QA
37:03 – My Key Message for QA Engineers

#engx #engxspace #qa #data