Pouya Bisadi
Principal Machine Learning Engineer at Kinaxis
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolPouya Bisadi is a Principal Machine Learning Engineer based in Old Toronto with over a decade of hands-on experience building scalable, production ML and data systems. He has progressed from application and backend development to architecting end-to-end ML platforms, currently shaping AI solution architectures and an internal ML SDK used across Kinaxis. His work spans demand sensing at scale (supporting multi-market daily forecasts), prediction services for insurance, and developer-facing tooling that reduced onboarding friction for dozens of engineers. Pouya blends strong academic foundations in distributed spatial data structures with practical expertise in cloud migration, APIs, and performance-driven data engineering. He is known for turning research-grade ideas into robust, configurable products and for influencing engineering practices across large teams through architecture guild leadership. Outside of product work, he favors creating reusable frameworks and scaffolds that amplify team velocity rather than one-off proofs of concept.
12 years of coding experience
16 years of employment as a software developer
Master, Computer Science, Master, Computer Science at University of New BrunswickBachelor, Software Engineering, Bachelor, Software Engineering at Shahid Beheshti University
English, Persian
Stackoverflow
991reputation
147kreached
7answers
23questions
Github Skills (8)
iis6
data-structures6
virtual-machine6
macos6
wpf6
pycharm6
multiple-monitors6
rescue5
Programming languages (1)
Github contributions (5)
pbisadi/Algorithms
Dec 2013 - May 2018
Contributions:27 commits, 23 pushes in 4 years 5 months
pbisadi/range_qtree
Dec 2019 - Jul 2020
This is a python version of the QTree that supports efficient aggregated range queries on geometric data points.
Contributions:2 PRs, 6 pushes, 3 branches in 7 months
vtkpythonnearest-neighborsgeometricrange
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