Sean Saito
Forward Deployed Engineer at OpenAI
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolSean Saito is a Forward Deployed Engineer at OpenAI with 11 years of experience building production-grade ML systems for enterprises, specializing in LLM-powered solutions. He previously led and grew analytics capabilities at BCG/BCG GAMMA and was an early ML hire at SAP where he drove the Cash Application product to high automation and introduced explainability tooling adopted across teams. Sean blends research and product delivery—shaping microservice architectures, deploying XGBoost and TensorFlow models, and operationalizing explainability via open-source libraries. He co-founded a coding school (Code Gakko) and has a background contributing to privacy-focused and measurement tooling at the Tor Project, underscoring a commitment to pragmatic, responsible engineering. Based in Tokyo and trained in mathematical and computational sciences at Yale-NUS, he pairs consulting-scale stakeholder skills with hands-on technical execution across the ML lifecycle. A detail often overlooked: he was SAP’s first bachelor hire for his role and led both technical architecture and agile processes, bridging research, engineering, and customer-facing proof-of-concepts.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS with Honours, Mathematical and Computational Sciences, Bachelor of Science - BS with Honours, Mathematical and Computational Sciences at Yale-NUS CollegeHigh School Diploma, N/A, High School Diploma, N/A at Keio Shounan Fujisawa Junior and Senior High School
English, Japanese, Chinese
Stackoverflow
665reputation
55kreached
11answers
8questions
Github Skills (117)
python10
classifier10
deep-learning10
fairness-ml10
training-data10
refer10
report-generator10
tensorflow10
trust10
machine-learning10
modular9
perceptual9
ml9
pipeline9
points9
Programming languages (6)
Github contributions (5)
seansaito/code-book-defenses
Oct 2018 - Feb 2020
Evaluation of adversarial robustness of neural networks that use MSE and code-book target representations
Contributions:25 commits, 15 pushes, 1 branch in 1 year 4 months
pytorchrepresentationsrobustnessdeep-learningadversarial
seansaito/softshell
Jun 2019 - Apr 2021
Turn hard-coded parameters into dynamic ones without refactoring
Contributions:15 commits, 5 PRs, 13 pushes in 1 year 11 months
parametersrefactoring
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