Sara Kodeiri

Associate Applied ML Specialist

Waterloo, Ontario, Canada
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Iran University of Science and Technology
bookMaster of Mathematics, Computer Science, Master of Mathematics, Computer Science at University of Waterloo
languagesEnglish, Persian, French
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Github Skills (26)

statistics9
differential-privacy9
jupyter-notebook8
python8
machine-learning8
notebook8
data-science7
jupyter7
pytorch7
jupyterlab7
google7
google-cloud7
deep-learning7
data-analysis7
neural-network6

Programming languages (4)

JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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sarakodeiri/artout-backend

Nov 2019 - May 2022

Contributions:165 commits, 8 PRs, 8 pushes in 2 years 6 months
A brazen two-column theme for Jekyll.
Contributions:14 pushes in 7 months
jekylljekyll-theme
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