Mohammadmehdi Naghiaei
AI Research Scientist at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolMohammadmehdi Naghiaei is an AI research scientist and Ph.D. candidate in Industrial Engineering at USC with a decade of experience applying machine learning to real-world recommendation and ranking problems. He combines strong academic pedigree—publishing at SIGIR, CIKM, RECSYS, WSDM and ECIR—with industry impact at Meta, Zillow, Mercedes-Benz R&D and a startup he co-founded, demonstrating the rare ability to move ideas from research to production. His work spans graph neural networks, page-level optimization, and foundational ranking models, and he has driven measurable gains such as boosting an in-car recommender’s success rate from 41% to 94%. A seasoned instructor who earned over 95% approval teaching Engineering Economy, he also serves on review and program committees, reflecting both technical depth and community leadership. Based in Menlo Park, he brings a pragmatic, product-aware research approach that balances algorithmic innovation with business objectives.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Industrial and System Engineering, Doctor of Philosophy - PhD Industrial and System Engineering at University of Southern CaliforniaBachelor's degree Industrial Engineering, Bachelor's degree Industrial Engineering at Sharif University of Technology
English, Persian, Spanish, Arabic
Stackoverflow
650reputation
277kreached
16answers
25questions
Github Skills (61)
point-of-interest10
post-processing10
matrix-factorization10
collaborative-filtering10
recommender-system10
google-colaboratory10
recommender10
retrieval9
sentence-transformers9
benchmark9
recommendation-system9
python9
bert9
paper9
optimization9
Programming languages (5)
Github contributions (5)
rahmanidashti/LBSNDatasets
Jan 2019 - May 2019
Location-Based Social Networks Datasets
Contributions:48 commits, 27 pushes in 3 months
datasetlocation-based-informationsocial-networklbsn
llm4eval/llm4eval.github.io
Feb 2024 - Oct 2024
Contributions:180 pushes in 8 months
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