Peyman Naseri
Research Assistant at Tehran Institute for Advanced Studies (TeIAS)
Tehran, Iran
Summary
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Rockstar🎓
Top SchoolPeyman Naseri is a data scientist with seven years of experience blending research and industry work in Tehran, focused on reinforcement learning, recommender systems, and trustworthy AI. Currently contributing at Digikala and as a research assistant at TeIAS, he investigates multilingual bias in LLMs using techniques like Logit Lens, Chain-of-Thought, and CKA. He has taught machine learning and linear algebra at Sharif University and contributed practical ML notebooks—visualizing SVM decision boundaries and cross-validation—in an instructional repo used for coursework. Peyman combines hands-on implementation of standard tools like scikit-learn with a research mindset, aiming to build reliable, interpretable models that generalize across languages and domains.
7 years of coding experience
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Tehran Institute for Advanced Studies (TeIAS)Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sharif University of Technology
Github Skills (12)
scikit-learn10
data-visualizations10
jupyter-notebook10
machine-learning10
data-visualization10
data-visualisation10
support-vector-machine10
python10
scikit10
ai9
artificial-intelligence9
python-course8
Programming languages (1)
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:79 commits, 3 PRs, 57 pushes in 1 month
Contributions summary:Peyman's commits primarily involve the creation and modification of Jupyter notebooks related to machine learning concepts, specifically focused on Support Vector Machines (SVMs) and cross-validation techniques. They implemented code to visualize decision boundaries, demonstrating a hands-on approach to understanding SVM behavior and incorporating relevant visualizations. The user also integrated the Scikit-learn library, showing an understanding of standard machine learning tools.
pythonmachine-learningdepartmentengineeringsharif-university
peyman886/NLP
Jun 2022 - Oct 2024
Contributions:118 pushes, 3 branches in 2 years 3 months
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