Sabri Eyuboglu
Stealth at Stealth Startup
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSabri Eyuboglu is a Stanford-trained computer scientist and entrepreneur with eight years of experience translating advanced research into product-focused engineering. After completing BS, MS, and PhD studies at Stanford, he spent his doctoral years building research-first systems and now leads development at a stealth startup in the San Francisco Bay Area. His background blends deep academic rigor with practical software delivery—comfortable moving from prototyping novel algorithms to shipping production code. Sabri’s public footprint includes a Stanford CS PhD profile and a personal site, signaling an inclination to document and communicate technical work beyond code. Colleagues describe him as someone who bridges theoretical depth and startup velocity, often surfacing non-obvious system trade-offs early in design.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
English, Spanish, French, Portuguese
Github Skills (120)
parallel10
python10
datasets10
visual-studio10
foundation-models10
prediction10
ray10
optimization10
interactors10
pandas10
editor10
localization10
nlp10
electron10
data-science10
Programming languages (9)
Github contributions (5)
seyuboglu/terra
Sep 2020 - Oct 2022
A Python package that transforms free-form research workflows into reproducible pipelines.
Contributions:97 commits, 52 pushes, 1 issue in 2 years 1 month
pythonpipelineorchestrationreproduciblepipelines
HazyResearch/meerkat
Apr 2021 - Jan 2023
Creative interactive views of any dataset.
Contributions:3 releases, 28 reviews, 519 commits in 1 year 10 months
data-scienceflexible-datamachine-learningmachine-learning-datasetsdatasets
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