Sina Mazaheri
Teaching Assistant at York University
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolSina Mazaheri is a computer scientist and teaching assistant at York University with six years of hands-on experience at the intersection of AI, machine learning, and software engineering. He holds a strong computer engineering background from Sharif University of Technology and is pursuing advanced studies (BSc and MSc thesis-based) in Computer Science at York. Sina has contributed educational machine learning content on GitHub—adding and clarifying Jupyter notebooks that explain PCA, k-means, and other core algorithms—demonstrating an emphasis on clear pedagogy as well as technical depth. His research work includes development on an LLM-native OS, blending systems thinking with large-model capabilities. Based in Toronto, he combines academic rigor with practical teaching and open-source contributions, making complex ML concepts accessible to students and developers.
6 years of coding experience
1 year of employment as a software developer
High School Diploma, Mathematics and Physics, 4, High School Diploma, Mathematics and Physics, 4 at Prof. Fazlollah Reza High SchoolM.Sc. Thesis Based, Computer Science, M.Sc. Thesis Based, Computer Science at York UniversityBachelor's of Sciences, Computer Engineering, Bachelor's of Sciences, Computer Engineering at Sharif University of Technology
Persian, English, Arabic, French
Stackoverflow
1reputation
62reached
0answers
1question
Github Skills (11)
machine-learning10
pca10
jupyter-notebook10
principal-component-analysis10
clustering10
python9
data-analysis8
ai7
python-course7
artificial-intelligence7
java6
Programming languages (2)
Github contributions (5)
SharifiZarchi/Introduction_to_Machine_Learning
Sep 2022 - Oct 2022
Machine Learning Course, Sharif University of Technology
Role in this project:
Data Scientist
Data ScientistContributions:4 reviews, 27 commits, 1 PR in 27 days
Contributions summary:Sina's commits primarily involve adding and modifying Jupyter notebooks related to machine learning concepts. The changes include implementing and explaining dimensionality reduction techniques, notably Principal Component Analysis (PCA) and k-means clustering. The contributions demonstrate a focus on presenting and explaining fundamental machine learning algorithms and their applications in a course setting.
pythonmachine-learningdepartmentengineeringsharif-university
sinamazaheri1379/Data-Science-And-Machine-learning-Projects
Nov 2021 - May 2022
Contributions:16 commits, 14 pushes, 1 branch in 5 months
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