Mahshid Hosseini
Applied Machine Learning Scientist at Grainger
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMahshid Hosseini is an Applied Machine Learning Scientist and NLP-focused PhD researcher at the University of Illinois Chicago with nine years of industry and academic experience applying deep learning to search, finance, advertising, and affective computing. She currently works on search modernization at Grainger and has interned at Bloomberg, Spotify, Sony, and Relativity, where she built production-oriented LLM and optimization solutions under tight compute and annotation constraints. Her profile blends rigorous theoretical foundations—taught as a TA for discrete math and data science—with hands-on ML engineering, including scripts and pipelines for large-scale grading, ad spend optimization, and customer spend modeling. Mahshid’s uncommon mix of auditing background and research gives her a strong risk-aware lens for model robustness, privacy, and operationalization. She is based in Chicago and continues to bridge cutting-edge NLP research with pragmatic, business-impacting ML systems.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois ChicagoBachelor of Science (BS) Computer Software Engineering, Bachelor of Science (BS) Computer Software Engineering at Shahid Beheshti UniversityHighschool Physics and Mathematics discipline, Highschool Physics and Mathematics discipline at National Organization for Development of Exceptional Talents (Sampad)
English, French, Persian, German
Github Skills (90)
natural-language-understanding10
google10
ai9
nlp9
python9
deep-learning9
pytorch9
machine-learning9
stanford-nlp9
natural-language-processing9
tensorflow9
sentiment9
transformer8
sentiment-analysis8
neural-network8
Programming languages (4)
Github contributions (5)
Mahhos/KDempathy
Sep 2021 - Jan 2022
Contributions:5 commits, 4 pushes, 1 branch in 4 months
Mahhos/Empathy
Dec 2020 - Dec 2020
Contributions:9 commits, 7 pushes, 1 branch in 4 days
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