Shirin Yamani
Machine Learning Scientist at Wayfair
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolShirin Yamani is a Machine Learning Scientist with five years of hands-on experience applying LLMs and RL techniques across research and production settings, currently at Wayfair after contributing to Hugging Face’s TRL project. She bridges liberal-arts communication skills with rigorous engineering, having led work on RLOO trainer refactors, vLLM integrations, and novel GRPO features like clip-higher and soft punishment. Her research spans practical LLM applications—from coding support for qualitative data analysis to multivariate time-series forecasting for electricity demand—demonstrating both experimental and deployment-focused strengths. A fast learner who thrives in collaborative, product-driven teams, she combines attention to detail with a knack for translating research prototypes into robust tools used by the open-source community.
5 years of coding experience
3 years of employment as a software developer
Bachelor's degree Industrial Engineering, Bachelor's degree Industrial Engineering at Islamic Azad UniversityMaster of Science - MS Software Engineering, Master of Science - MS Software Engineering at University of Calgary
English
Github Skills (46)
transformer-architecture10
transformers10
pytorch10
language-model10
python10
machine-learning10
seq2seq10
reinforcement-learning10
flax10
llm10
deep-learning10
tensorflow10
natural-language-processing10
bert10
adapter10
Programming languages (4)
Github contributions (5)
shirinyamani/leetcode
Dec 2021 - Apr 2022
Contributions:32 commits, 29 pushes, 1 branch in 3 months
shirinyamani/algo-monster
Jun 2022 - Mar 2024
Contributions:2 PRs, 81 pushes, 3 branches in 1 year 9 months
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