Sebastian Ibarguen
Chief Technology Officer at Core Code io
Guatemala City, Guatemala Department
Summary
👤
Senior🎓
Top SchoolSebastian Ibarguen is a seasoned technology leader and serial founder with 11 years of engineering experience, currently serving as Chief Technology Officer at Simera while co-founding Core Code io, Vana, and Cognits. He blends hands-on backend development with strategic product leadership, having progressed from senior engineer and manager roles into executive responsibilities. Sebastian contributes to open-source privacy-focused ML tooling, enhancing PySyft's FloatTensor math and usability to enable data science on remote servers. Based in Guatemala City, he pairs a practical engineering mindset with academic experience as a former university lecturer and international study at LSE. Known for tackling hard problems that add societal value, he emphasizes robust, production-ready solutions over theoretical complexity. His background reflects entrepreneurial grit, cross-functional leadership, and a focus on privacy-preserving machine learning infrastructure.
11 years of coding experience
5 years of employment as a software developer
BS, BS at Universidad Francisco MarroquínSummer Courses, Summer Courses at London School of Economics and Political Science
English, Spanish
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (8)
pytorch10
python10
sym10
federated-learning9
deep-learning8
deeplearning-ai8
cryptography8
pycharm6
Programming languages (8)
Github contributions (5)
OpenMined/PySyft
Dec 2017 - Dec 2017
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 3 comments in 2 days
Contributions summary:Sebastian's primary contributions focused on enhancing the `FloatTensor` class within the PySyft library. They added functionality for mathematical operations like power, logarithms, reciprocals, and square roots. Further contributions included integrating additional methods (e.g., `acos`, `asin`, `atan`, `frac`, `log`, `reciprocal`, `rsqrt`), and addressing verbosity within the initialization process of the `FloatTensor` class, signifying the user's involvement in enhancing the library's functionality and usability.
pytorchcryptographyacquiringpythonscience
sebasibarguen/udacity-nanodegree-machinelearning
Jan 2015 - Mar 2015
Contributions:26 commits, 13 pushes in 1 month
code-projectudacity
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