Olga Moskvyak is a Machine Learning Engineer with 9 years of experience and a PhD in Computer Science who builds and deploys deep learning systems for real-world CV and NLP problems. She has applied generative and multimodal models at scale—shipping AR/VR-enabled virtual makeup and image-driven catalog automation at Amazon and production wildlife identification tools at Wild Me. Currently at Canva, she focuses on turning research into user-facing products, combining PyTorch, OpenCV, transformers and AWS for robust prototypes and pilots. A former academic tutor and community mentor with FastAI Queensland, she champions diversity in AI and actively supports women in tech. Her background uniquely blends rigorous research, hands-on deployment experience, and earlier enterprise systems consulting, giving her a pragmatic edge in translating complex models into business impact.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at QUT (Queensland University of Technology)
Master's Degree, Information Systems, 7.0, Master's Degree, Information Systems, 7.0 at CQUniversity
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Olga Moskvyak - Machine Learning Engineer at Canva