Chakaveh Saedi is a Senior Machine Learning Engineer based in Sydney with a PhD-focused background in AI and over a decade of hands-on research and industry experience building NLP and document-understanding systems. She has led ML work across startups and scaleups—most recently at Dovetail and Relevance AI—delivering production-ready pipelines that turn unstructured text into actionable intelligence. Her career spans core research in machine translation and sense disambiguation to applied roles building APIs and no-code platforms that democratize AI for back-office automation. Comfortable bridging research and product, she combines deep academic training with a track record of shipping robust, scalable ML solutions in fast-moving teams. An underrated strength is her cross-disciplinary foundation from hardware engineering through to advanced NLP, which helps her optimize models for real-world deployment constraints.
9 years of coding experience
14 years of employment as a software developer
BSc in Hardware Engineering, BSc in Hardware Engineering at Azad University - Tehran South Branch
MSc in Artificial Intelligence Artificial Intelligence - NLP, MSc in Artificial Intelligence Artificial Intelligence - NLP at Azad University - Tehran Science and Research Branch
Doctor of Philosophy - PhD Artificial Intelligence - NLP, Doctor of Philosophy - PhD Artificial Intelligence - NLP at Macquarie University
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Chakaveh Saedi - Senior Machine Learning Engineer at Dovetail