Ernesto Shayda - Founder at University of Haifa

Ernesto Shayda

Founder at University of Haifa

Paphos Municipality, Cyprus

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Summary

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Senior

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Top School

Ernesto Shayda is an AI inventor and founder with 12 years of experience building production-grade machine learning systems and commercializing research through Infiano.AI. He holds multiple granted international patents (6) with additional patents pending and has published at NeurIPS while pursuing a PhD on probabilistic coresets for highly non-linear models. Ernesto combines industrial experience at Samsung—where he improved AutoML, sampling algorithms, and received multiple patents—with academic work on 3D reconstruction and unified probabilistic coreset theory. At Infiano.AI he focuses on automating optimization of complex multi-agent AI systems and rapidly turning novel algorithms into IP and products. He has contributed to open-source distributed ML tooling (Samsung/veles), extending core workflow and unit interfaces to improve scalability on heterogeneous accelerators. Based in Cyprus, he pairs deep probabilistic modeling and custom neural architectures with practical engineering to tackle previously “unsolvable” AI problems.

13 years of coding experience

9 years of employment as a software developer

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Haifa

Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Bauman Moscow State Technical University

English, Spanish, Russian, Korean

Github Skills (9)

machine-learning10

c-language10

cprogramming-language10

unit-testing9

architecture8

architectures8

api-design5

githubaction-workflow5

github-ci5

Programming languages (2)

C++Python

Github contributions (5)

Samsung/veles

Jul 2013 - Oct 2013

Distributed machine learning platform

Role in this project:

Back-end Developer

Contributions:41 commits in 3 months

Contributions summary:Ernesto primarily focused on modifying and extending the core `Unit` interface within the `veles` project. They added functionality for parameter loading and modified existing interfaces. The commits also include the addition of a `Workflow` class, including related methods for managing and executing a sequence of units, and associated unit tests. Furthermore, they made changes to the build configuration to enhance the project's build process and configuration.

machine-learning

ernestosanches/Decision-Trees-Coreset

Oct 2021 - Jul 2022

Contributions:7 commits, 7 pushes in 9 months

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