Stas Sajin

Machine Learning Engineer at Whatnot

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
Stas Sajin is a Machine Learning Engineer with a decade of experience building production ML systems, data infrastructure, and microservices across finance and consumer product companies. He combines a PhD-level background in cognitive science with hands-on expertise in Python, Spark/Scala, Redshift, and AWS to move models from prototype to deployed services that drive business outcomes. At Earnest he built underwriting and pricing services that materially improved automation and reduced costs, and at DoorDash advanced data-driven product features while mentoring cross-functional teams. He favors pragmatic tooling—DBT, Dagster, FastAPI, Terraform—and emphasizes reproducibility, testing, and observability in ML pipelines. Known for hiring and managing empathetic data teams, he also authors practical guidance on data team culture and has a track record of early adoption of effective engineering patterns.
code11 years of coding experience
job8 years of employment as a software developer
bookCFA Candidate, Finance, CFA Candidate, Finance at CFA Institute
bookDoctor of Philosophy (Ph.D.), Cognitive and Brain Sciences, Doctor of Philosophy (Ph.D.), Cognitive and Brain Sciences at Binghamton University
bookBachelor’s Degree, Business Administration, Bachelor’s Degree, Business Administration at Alfred State College - SUNY College of Technology
languagesRomanian, English, Russian, Turkish, German
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Stats
144reputation
14kreached
2answers
3questions
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Github Skills (39)

parsing8
r8
catboost7
validation7
data-mining7
exp7
python7
kaggle7
decision-tree6
cuda6
dplyr6
ggplot6
gpu6
machine-learning6
plot6

Programming languages (4)

C++RHTMLPython

Github contributions (5)

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Contributions:24 commits, 2 PRs, 16 pushes in 1 year 3 months
expanalyses
stasSajin/dbt-example

Mar 2020 - Mar 2020

Example Set up For DBT Cloud using Github Integrations
Contributions:19 commits, 18 PRs, 62 pushes in 1 day
dbt-cloud
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