Nicolas Pinto
Founder, Chief Scientist at Keytsugi, LLC
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNicolas Pinto is a founder, investor, and technical leader with 15 years building privacy-first, trustworthy AI and decentralization infrastructure from research labs to startups and venture funds. He currently leads R&D and investments at Cygni Labs & Cygni Capital, focusing on AI trust—governance, interpretability, privacy, safety and security—while also running an artist-support endowment that applies PoS economics. His engineering roots include mobile, privacy-preserving deep learning at Apple and Perceptio and academic work at MIT and Harvard, culminating in a PhD on scalable object recognition. An active open-source contributor, he has improved core Python ML and image-processing projects (scikit-image, scikit-learn) and extended low-level GPU tooling (PyCUDA), demonstrating both algorithmic and systems fluency. As an early investor and advisor across crypto, ML and health startups, he combines hands-on technical chops with a keen sense for product-market and protocol-level trust. Notably, his career blends GPU and embedded ML pragmatism with governance-minded thinking about how to make AI systems auditable and decentralized.
15 years of coding experience
4 years of employment as a software developer
M.S Computer Science / Artificial Intelligence, M.S Computer Science / Artificial Intelligence at Université de Haute-Alsace Mulhouse-ColmarPh.D Computational Neuroscience / AI, Ph.D Computational Neuroscience / AI at Massachusetts Institute of TechnologyMS Information, MS Information at ENSISA (ESSAIM)M.S Computer Science / Software Engineering, M.S Computer Science / Software Engineering at UTBMPontifical Catholic University of Rio de Janeiro
Stackoverflow
393reputation
23kreached
2answers
2questions
Github Skills (37)
cosmos-sdk10
gpgpu10
python10
image-processing10
pycuda10
testing10
scikit10
arrayobject10
scikit-image10
numpy10
pep10
go10
gpu10
blockchain10
accelerated-computing10
Programming languages (10)
Github contributions (5)
scikit-image/scikit-image
Feb 2012 - Apr 2013
Image processing in Python
Role in this project:
Data Scientist
Data ScientistContributions:17 commits in 1 year 2 months
Contributions summary:Nicolas primarily contributes to the `scikit-image` repository, focusing on image processing and related utilities. Their work involves refactoring and enhancing existing functionalities, specifically moving and improving shape-related utilities. Additionally, they added a 2D montage function, and updated documentation and examples. This work demonstrates an understanding of image processing concepts and their practical implementation using Python.
image-processingpythoncomputer-vision
scikit-learn/scikit-learn
Apr 2011 - Jul 2012
scikit-learn: machine learning in Python
Role in this project:Backend Developer & Code Maintainer
Backend Developer & Code MaintainerContributions:34 commits in 1 year 3 months
Contributions summary:Nicolas's commits primarily focus on code style and formatting improvements within the scikit-learn repository. They made multiple "MISC: cosmetic" changes, indicating a focus on adhering to the project's coding style guidelines and improving readability. The commits touched multiple files including setup.py, cross_val.py, fastica.py, pca.py, scikits/learn/setup.py, pls.py, hmm.py, base.py, grid_search.py, and mixture.py. The user's contributions seem to be geared towards improving the overall code quality and maintainability of the project.
machine-learningpythonscikit-learnstatisticsdata-science
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