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Mobile app testing strategies at scale for iOS and Android
Learn how to build mobile app testing strategies that scale across iOS and Android, from device fragmentation and real devices to AI test automation.
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About
Kirill Shakhnovich is an Applied AI Engineer at Klarent, with an MSc in Data Science from ETH Zürich (GPA 5.8/6.0, with distinction). His master's thesis introduced a method for generating synthetic queries with LLMs to evaluate and train product search models, replacing costly A/B testing. He previously worked as a Data Science Intern at the Singapore-ETH Centre, building predictive models for bioconversion research, and spent over four years as a Teaching Assistant at ETH Zürich.
