Ehsan Ganjidoost
Software Engineer at University of Waterloo
Waterloo, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolEhsan Ganjidoost is a software engineer and PhD-trained researcher in computer science with a decade of experience specializing in machine learning and deep learning grounded in dynamic systems. His work blends academic rigor from the University of Waterloo with industry research at Huawei Canada, focusing on neural network theory and practical ML/DL engineering. He has held multiple AI research and teaching roles, mentored big-data competitions, and translated research into fintech and data-engineering projects, demonstrating an unusual breadth across research, product, and applied engineering. Based in Waterloo, Ontario, he pairs strong theoretical instincts with hands-on software development—often exploring how learning dynamics can produce more efficient models. Colleagues note his relentless curiosity and habit of rapidly acquiring new technical skills, a trait he cites as central to his research approach.
10 years of coding experience
15 years of employment as a software developer
CIFAR Deep Learning + Reinforcement Learning (DLRL) Summer SchoolPh.D. Computer Science, Ph.D. Computer Science at University of Waterloo
Arabic, Persian, English
Github Skills (23)
python9
data-structures8
data-analysis8
frame8
deep-learning8
pandas8
gpu8
machine-learning8
manipulation8
data-science8
dataframes7
neural-network6
tensorflow6
data-manipulation6
numpy5
Programming languages (1)
Github contributions (5)
EGanji/QuickGit
Nov 2017 - Dec 2017
Contributions:72 pushes, 1 branch in 1 day
EG58/coding-challenge
Nov 2015 - Nov 2015
Contributions:28 pushes in 2 days
insight-data-engineeringdata-engineeringsparkengineeringdata-insight
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