Marina is a senior A.I. software architect at Aidoc, working on building scalable A.I. infrastructure for the research and development of cutting edge A.I. algorithms in the field of healthcare. She has 9 years of experience as a software engineer and software team leader, working both in corporate companies and startups.
She's passionate about finding the best architecture and solutions to software problems and mentoring others with her experience and knowledge.
Testing stochastic AI models with hypothesis
In this talk, I will cover shortly the theory of property-based testing and then jump into use cases and live examples to demonstrate the hypothesis library and how we used it to generate random examples of plausible edge cases of our AI model.