Sabri Eyuboglu
CTO at Engram
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
PhD Computer Science, PhD Computer Science at Stanford University
English, Spanish, French, Portuguese
Github Skills (97)
language-model10
network-analysis10
datasets10
foundation-models10
interactors10
pandas10
editor10
ml10
localization10
ai10
artificial-intelligence10
electron10
data-science10
typescript10
visual-studio-code10
Programming languages (9)
Github contributions (5)
seyuboglu/weakly-supervised-petct
Mar 2020 - Jan 2021
PyTorch implementation of a multi-task, weak supervision framework for abnormality localization in large, volumetric images.
Contributions:1 release, 1 review, 26 commits in 10 months
localizationpytorchweak-supervision
HazyResearch/meerkat
Apr 2021 - Jan 2023
Explore and understand your training and validation data.
Contributions:3 releases, 28 reviews, 519 commits in 1 year 10 months
data-scienceflexible-datamachine-learningmachine-learning-datasetsdatasets
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