Sara Kodeiri is an applied machine learning specialist based in Waterloo with eight years of experience bridging academic research and production ML. Currently an Associate Applied ML Specialist at the Vector Institute, she has built retrieval-based chatbots and ML solutions for healthcare and tutoring contexts, and previously worked on privacy-focused data science at Geotab. Her background includes graduate research on ML privacy at the University of Waterloo and hands-on projects in language-model interpretability and multimodal VQA, including creating the first Farsi VQA dataset and a corresponding web service. Sara combines rigorous research training with practical deployment experience, often focusing on privacy-aware, retrieval-driven systems that support real-world users such as interventionists and students.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Iran University of Science and Technology
Master of Mathematics, Computer Science, Master of Mathematics, Computer Science at University of Waterloo
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