Hassan Shavarani
NLP Research Scientist at JPMorganChase
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHassan Shavarani is an NLP research scientist with 11 years of industry and academic experience, currently building production-ready language models at JPMorgan Chase after a PhD in Computer Science from Simon Fraser University. He brings 8+ years of focused NLP research with 10 publications from his doctoral work and a proven record of turning research insights into engineering wins—most notably identifying and fixing a design flaw in entity linking models that improved linking performance by 6%. Equally comfortable teaching, he spent five years instructing AI, ML, and deep learning courses, which sharpened his ability to communicate complex ideas across multidisciplinary teams. His background spans R&D roles and internships at institutions like RIKEN and TextIQ, giving him practical domain expertise in information extraction and applied ML. Based in Seattle, he combines rigorous academic training with hands-on productization skills and a persistent appetite for experimentation and innovation.
11 years of coding experience
10 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy - PhD, Computer Science, 4.25 / 4.00, Doctor of Philosophy - PhD, Computer Science, 4.25 / 4.00 at Simon Fraser University
Persian, English, French
Github Skills (20)
neural-machine-translation9
translation9
python9
machine-learning9
gpu9
nlp8
deep-learning8
machine-translation7
neural-network7
numpy7
tensorflow7
gpu-acceleration6
tensor6
autograd6
acceleration6
Programming languages (2)
Github contributions (5)
sfu-natlang/SFUTranslate
Dec 2018 - Oct 2021
Neural Machine Translation Toolkit by Natlang Laboratory at SFU
Contributions:5 releases, 238 commits, 42 PRs in 2 years 10 months
nlpmachine-translationtranslationlaboratorysfu
shavarani/CMPT165
Dec 2017 - Jan 2025
Contributions:61 pushes, 1 branch in 7 years 1 month
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