Reza Ebrahimi
AI Researcher at Qualcomm
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolReza Ebrahimi is an AI researcher and PhD graduate from the University of Toronto with eight years of experience applying machine learning, probabilistic modeling, and graph signal processing to real-world problems ranging from indoor localization to fMRI-based neuroimaging. He has transitioned research into impact as a former indoor positioning team lead who built robust localization algorithms and now works on delineating neural pathophysiology of social cognition deficits in schizophrenia at CAMH. His internships and current role at Qualcomm underscore a growing focus on neural reasoning and length generalization in large language models, bridging theoretical ML with applied industry research. Comfortable at the intersection of academia and industry, he combines deep signal-processing expertise with hands-on systems development and interdisciplinary collaboration.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of TorontoMaster of Science (MSc), Communication Systems, Master of Science (MSc), Communication Systems at University of Tehran
English, Persian
Stackoverflow
969reputation
1.8mreached
10answers
1question
axis
top-5%
matplotlib
top-5%
label
top-5%
Github Skills (39)
python10
machine-learning10
deep-learning10
gpu10
matplotlib9
label9
numpy9
axis9
tensorflow9
neural-network9
gpu-acceleration8
autograd8
acceleration8
tensor8
animation7
Programming languages (3)
Github contributions (5)
mamaj/cnn-featurevis-ece421
Oct 2020 - Aug 2021
Contributions:34 commits, 31 pushes, 2 branches in 10 months
mamaj/mamaj.github.io
Jan 2020 - Dec 2022
Contributions:10 pushes, 1 branch in 2 years 11 months
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