Alireza Ziabari
Research Scientist at University of Southern California
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolAlireza Ziabari is a data scientist and graduate research assistant at USC with eight years of experience applying machine learning across industry and academia. He has built production ML systems—from ETA prediction and search ranking at TAPSI to object detection for embedded dash cams at FANAP—and explored anomaly detection with autoencoders and GANs during his undergraduate research. Currently pursuing a PhD in Computer Science, he works in the Computer Social Science Lab and recently completed an ML research internship at Netflix focused on aligning and evaluating LLMs for recommender systems. He combines practical engineering experience with research rigor, moving models from prototype to deployed services. Based in Los Angeles, he is curious about real-world ML applications and often blends adversarial and representation-learning techniques to uncover better features.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern CaliforniaHigh School Diploma, High School Diploma at National Organization for Development of Exceptional Talents (Sampad)Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Sharif University of Technology
Github Skills (2)
django1
evaluation1
Programming languages (1)
Github contributions (5)
AlirezaZiabari/alirezaziabari.github.io
Jun 2023 - Oct 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:10 pushes in 2 years 3 months
USC-CSSL/Adaptable-Problematic-Content-Detection
Aug 2023 - Aug 2024
Contributions:1 PR, 15 pushes, 2 branches in 1 year
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