Saghar Hosseini
Research Scientist, Responsible AI - Generative AI
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolSaghar Hosseini is a research scientist with 10 years of experience specializing in responsible and generative AI, currently driving safety alignment and post-training work on Llama 2, 3, and 4 at Meta. Her career spans deep research and applied roles at Microsoft Research and academia, blending theoretical rigor from a PhD in Distributed Online Learning with hands-on production ML engineering. She has led large-scale language and intelligence projects focused on deployable solutions for enterprise productivity and model safety. Prior work in time-varying networks and distributed optimization reflects a strong foundation in online algorithms and systems thinking that informs her approach to alignment challenges. Based in Redmond, she combines academic publication experience with practical model deployment expertise to bridge research and product impact.
10 years of coding experience
12 years of employment as a software developer
Master of science, Mechanical & Aerospace Engineering, Master of science, Mechanical & Aerospace Engineering at University of California, IrvineDoctor of Philosophy (Ph.D.), Distributed Online Learning, 3.9, Doctor of Philosophy (Ph.D.), Distributed Online Learning, 3.9 at University of WashingtonBachelor of science, Aerospace Engineering, Bachelor of science, Aerospace Engineering at Sharif University of Technology
English, Persian
Github Skills (33)
python9
machine-learning9
deep-learning9
nlp8
tensorflow8
meta8
data-science7
neural-network7
natural-language-processing6
datasets6
bert5
deep-neural-networks5
ml5
sequencing3
decoding3
Programming languages (4)
Github contributions (5)
microsoft/SafeNLP
Jul 2022 - Mar 2023
Safety Score for Pre-Trained Language Models
Contributions:1 review, 24 commits, 1 PR in 8 months
nlppre-trained-language-modelsbertpre-trainedmachine-learning
sagharhs/Time_Varying_Networks
Jan 2016 - Jun 2018
Contributions:6 pushes, 1 branch in 2 years 5 months
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