Sean Yamamoto
Quantitative Researcher
New York, New York, United States
Summary
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Senior🎓
Top SchoolSean Yamamoto is a quantitative researcher and senior data scientist with nine years of cross-disciplinary experience applying ML and engineering rigor to finance and recommendation systems. Currently at AlphaWorks Capital in New York, he blends quantitative modeling with production-ready ML engineering, drawing on a 4.0 ScM in Computer Science from Brown and a background in engineering and physics. His open-source work enhancing Microsoft’s recommenders project—integrating and upgrading NNI for hyperparameter tuning across models like Surprise SVD and Neural Collaborative Filtering—reflects a practical focus on automating model selection and optimization. Early roles in systems performance, treasury/investment, and hardware research give him a pragmatic edge in translating research into robust, real-world systems.
9 years of coding experience
1 year of employment as a software developer
Master of Science - ScM, Computer Science, 4.0, Master of Science - ScM, Computer Science, 4.0 at Brown UniversityIolani SchoolHanahau’oli School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
machine-learning10
recommendation-system10
tensorflow10
python10
data-science9
jupyter-notebook9
deep-learning8
deeplearning-ai8
Programming languages (8)
Github contributions (5)
recommenders-team/recommenders
Apr 2020 - Jun 2020
Best Practices on Recommendation Systems
Role in this project:
ML Engineer
ML EngineerContributions:18 commits, 2 PRs, 3 comments in 2 months
Contributions summary:Sean primarily focused on updating and adapting the NNI (Neural Network Intelligence) toolkit for hyperparameter tuning within the recommender systems context. Their work involved upgrading NNI versions and integrating NNI with different models like Surprise SVD and NCF (Neural Collaborative Filtering) to facilitate model selection and optimization. The user also added NCF training functionality within the NNI framework, contributing to the project's model comparison capabilities.
recommendation-systemspythonjupyter-notebookoperationalizationmicrosoft
data-science-defiance/airlines-visualization
Oct 2018 - Dec 2018
Contributions:36 pushes, 2 branches in 1 month
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