Esteban Safranchik
Co-Founder & CEO at Statespace
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEsteban Safranchik is an AI-focused founder and builder with nine years of experience spanning research, teaching, and productization of machine learning systems. He has combined academic rigor—teaching multiple machine learning and AI courses at the University of Washington and pursuing PhD-level work—with startup execution as a founder and head of AI at early-stage ventures. His background includes practical roles at Scale AI and internships at Google and fintech/data startups, reflecting a blend of strategy, data-centric engineering, and hands-on model development. Based in Seattle, he emphasizes improving data science “one sample at a time,” signaling a pragmatic, data-first approach to ML systems. Notably, he moves between educating others and shipping products, making him skilled at translating complex research into usable tools and workflows.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence (Incomplete), Doctor of Philosophy - PhD, Artificial Intelligence (Incomplete) at University of WashingtonHigh School Diploma, Information and Communication Technologies, High School Diploma, Information and Communication Technologies at ORT ArgentinaBachelor of Science (Sc.B.) & Bachelor of Arts (A.B.), Applied Math-Economics & Computer Science, Bachelor of Science (Sc.B.) & Bachelor of Arts (A.B.), Applied Math-Economics & Computer Science at Brown University
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (52)
python10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
acceleration9
autograd9
tensorflow9
entity9
tensor9
weakly-supervised-learning9
sequence9
biomedical9
gpu-acceleration9
Programming languages (4)
Github contributions (5)
BatsResearch/safranchik-aaai20-code
Nov 2019 - Mar 2020
Contributions:29 commits, 3 PRs, 4 pushes in 4 months
BatsResearch/wiser
Jul 2019 - May 2020
Framework for weakly supervised deep sequence taggers, focused on named entity recognition
Contributions:2 releases, 65 commits, 19 PRs in 10 months
pytorchsequencenamed-entity-recognitionentity-recognitionsupervised
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