Bardia Doosti
Software Engineer at Google
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolBardia Doosti is a PhD-trained software engineer and researcher with eight years of experience applying deep learning to vision and audio problems, currently leading ML efforts for Google AR/VR. His work spans graph convolutional networks, 3D reconstruction, hand and body pose estimation, autoencoders and self-supervised architectures, with peer-reviewed contributions (including CVPR) from his time at Indiana University. He combines academic rigor with production-grade engineering at Google Cloud and AR/VR, and has interned on high-fidelity 3D reconstruction at Facebook Reality Labs. Comfortable across research and product environments, he brings a rare mix of pure mathematics, teaching experience, and large-scale codebase delivery to solve perceptual AI challenges.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Indiana University BloomingtonBachelor of Science (B.Sc.), Pure Mathematics, Bachelor of Science (B.Sc.), Pure Mathematics at University of Tehran
Persian, English
Github Skills (5)
magenta9
music-generation9
music8
generative-art6
machine-learning6
Programming languages (1)
Github contributions (5)
bardiadoosti/GradCAM-PyCaffe
Oct 2017 - Jul 2019
Contributions:7 commits, 6 pushes, 1 branch in 1 year 8 months
bardiadoosti/HOPE
Sep 2019 - Oct 2020
Contributions:13 commits, 17 pushes, 38 comments in 1 year
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