Gustavo Sandoval
Professor & ML Researcher at New York University
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolGustavo Sandoval is a seasoned machine learning researcher and professor at NYU with 11 years of professional experience bridging academia and industry, focused on mechanistic interpretability and LLM security. He combines deep systems and software engineering roots from two decades at Microsoft—where he led large distributed teams and shipped widely used platform features—with current research into the inner workings and safety of large language models. As a former founder/CTO, he brings product-minded pragmatism to research and teaching, having developed and run graduate courses across ML, OS, and distributed systems while mentoring numerous students. His track record spans low-level systems design to applied ML, and he’s known for translating complex technical problems into practical, deployable solutions that improve reliability and security.
11 years of coding experience
27 years of employment as a software developer
Doctor of Philosophy - PhD (ABD), Electrical Engineering/Computer Science, 3.9, Doctor of Philosophy - PhD (ABD), Electrical Engineering/Computer Science, 3.9 at New York UniversityCalifornia State University, SacramentoBachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at Universidad del Valle de Guatemala
Spanish
Github Skills (102)
wsl210
editor9
python9
microsoft9
assembly9
visual-studio-code9
electron9
kubernetes9
vscode-extension9
typescript9
vscode9
deep-learning8
gpu8
visual-studio8
windows8
Programming languages (12)
Github contributions (5)
GusSand/gussand.github.io-source
Aug 2017 - Mar 2023
Source for my blog at github.io and AlmostBrooklyn
Contributions:18 pushes, 1 branch in 5 years 7 months
my-blogjekyll
GusSand/introml
Jun 2019 - Sep 2022
Python tutorials for introduction to machine learning
Contributions:20 commits, 15 pushes in 3 years 3 months
pythondata-sciencemachine-learningpython-tutorialsintroduction-to-machine-learning
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