Shiva Saxena
Research Assistant at University of Toronto
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolShiva Saxena is a Research Assistant and PhD candidate at the University of Toronto with 11 years of software engineering experience focused on distributed machine learning and mobile edge computing. He combines hands-on research in the Wireless Computing Lab with practical teaching experience in software design, data modelling, and ML-driven textual analysis of large news and social datasets. His background spans industry roles at Cisco and HyperWorks Imaging and early internships, giving him a strong systems and applied engineering foundation alongside academic rigor. Skilled in Java, SQL, Android, and large-scale data processing, he brings a rare blend of algorithmic research (PhD in Algorithms and Optimization) and production-minded engineering to edge ML problems. Notably, he leverages historical and streaming text analysis to create novel measures of sentiment and uncertainty, bridging theory and real-world signals.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Algorithms and Optimization, Doctor of Philosophy - PhD, Algorithms and Optimization at University of TorontoBachelor of Engineering (BE), Computer Science and Engineering, Bachelor of Engineering (BE), Computer Science and Engineering at RV College Of Engineering
English, Hindi
Github Skills (17)
python8
scientific-computing5
linear-algebra5
numba5
convolution5
numpy5
blas5
interpolation5
mpi5
gradient-descent4
fundamental4
ndarray4
numerics4
root-finding4
finite-element-analysis3
Programming languages (3)
Github contributions (5)
shivasaxena23/FileUtilityRestApi
Sep 2017 - Jan 2019
Contributions:12 commits, 12 pushes, 1 branch in 1 year 3 months
shivasaxena23/shivasaxena23.github.io
Dec 2021 - Dec 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:10 pushes in 3 years
templategithub-pages-templatemmistakesmistakesjekyll
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