Taha Shieenavaz

Deep Learning Researcher at Open Source

Padua, Veneto, Italy
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Summary

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Senior
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Top School
Taha Shieenavaz is a deep learning researcher and Master's student in Artificial Intelligence at Università degli Studi di Padova with a decade of experience blending academic research, teaching, and open-source development. Based in Padua, he focuses on probabilistic methods and their applications to financial markets and investment strategies, while also exploring intersections with quantum computing. Currently contributing to research projects at the University of Padova and maintaining active open-source work since 2022, he brings practical coding experience and classroom-facing clarity from his Java teaching assistant role. His background in mathematics from Sampad and a computer engineering bachelor’s provides strong theoretical grounding that complements his experimental ML work. Colleagues describe him as quietly deliberate—an engineer “trying to survive without attention” who delivers careful, well-documented contributions behind the scenes.
code10 years of coding experience
bookMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at Università degli Studi di Padova
bookBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Imam Khomeini International University
bookMathematics, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
languagesEnglish, Persian, Italian
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Github Skills (22)

mustache10
handlebars10
natural-language-understanding10
template-engine9
natural-language-processing9
google9
templating9
nlp9
tensorflow8
javascript7
bert7
axe4
wcag4
vue3
accessibility3

Programming languages (5)

TypeScriptJavaScriptPHPHTMLPython

Github contributions (5)

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tahashieenavaz/windows-xp

Mar 2022 - Jan 2023

Contributions:13 commits, 11 pushes, 3 branches in 10 months
tahashieenavaz/pong

Aug 2022 - Jan 2023

Contributions:39 commits, 46 pushes, 3 branches in 5 months
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Taha Shieenavaz - Deep Learning Researcher at Open Source