Founder, General Partner, CTO at Cygni Labs & Cygni Capital
Palo Alto, California, United States
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Summary
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Senior
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Nicolas Pinto is a seasoned technology leader, founder and CTO guiding Cygni Labs & Cygni Capital in Palo Alto, shaping the future of trust architecture at the crossroads of AI, privacy, and decentralization. With 14 years of experience, he blends hands-on engineering with strategic investment and governance to build scalable, secure systems. His career spans roles from Apple’s Privacy-Preserving Mobile DL evangelist to founding positions at Perceptio, and research leadership at MIT and Harvard, underscoring a deep foundation in AI, neuroscience, and HPC. An active open-source contributor, he has advanced CUDA integration in PyCUDA, enriched image-processing tooling in scikit-image, and contributed to Cosmos SDK and scikit-learn, highlighting breadth across back-end, ML, and systems. He also leads philanthropic and investment efforts through InnerChild Foundation and Angel & VC, funding initiatives from PoS endowments for artists to AI and blockchain innovations.
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-Colmar
Ph.D Computational Neuroscience / AI, Ph.D Computational Neuroscience / AI at Massachusetts Institute of Technology
MS, Information, Systems, Communication, MS, Information, Systems, Communication at ENSISA (ESSAIM)
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.
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.
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Nicolas Pinto - Founder, General Partner, CTO at Cygni Labs & Cygni Capital