Gabriel Ruiz
Senior Software Engineer at Lirium AG
Pilar, Buenos Aires, Argentina
Summary
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Rockstar🎓
Top SchoolGabriel Ruiz is a senior software engineer based in Pilar, Buenos Aires, with over 14 years of professional experience and a 25-year programming background centered on C++ and systems engineering. He has led and implemented critical infrastructure for crypto custody and automated trading—designing hot pools, cold vaults with multi-signature workflows, batching and SegWit support, and cross-exchange hedging—at firms like Xapo Bank and Lirium AG. Prior to crypto, he spent a decade building and managing security and penetration-testing products at Core Security, blending low-level Windows C++ with embedded Python extensibility. Gabriel also contributes to open-source algorithmic trading tools (notably work on pyalgotrade indicators and optimizer improvements), reflecting a practical cross-language toolkit from C++ to Python. Certified in Scrum and schooled in information systems and design patterns, he combines deep engineering craft with product-focused delivery in high-stakes financial and security domains.
14 years of coding experience
21 years of employment as a software developer
Design Patterns and Object Oriented Design, Design Patterns and Object Oriented Design at IT MentorManagement Skills, Management Skills at Universidad de 'San Andrés'Certified ScrumMaster, Certified ScrumMaster at Agiles 2008Information Systems Engineer, Information Systems Engineer at Universidad Tecnológica NacionalSCRUM, SCRUM at IEEE
Stackoverflow
11reputation
3kreached
1answer
0questions
Github Skills (10)
technical-indicators10
backtesting10
python10
algorithmic-trading10
backtest10
unit-testing9
dsl6
ruby6
trading6
scripting6
Programming languages (4)
Github contributions (5)
gbeced/pyalgotrade
Mar 2012 - Apr 2021
Python Algorithmic Trading Library
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:731 commits, 22 PRs, 237 pushes in 9 years 2 months
Contributions summary:Gabriel contributed to the project by developing and refactoring code related to the algorithmic trading library. Their work included the implementation of new technical indicators such as CrossAbove, CrossBelow, and RateOfChange, improving the optimizer module, and implementing various bug fixes across the project. They also worked on the setup.py script to ensure the packaging of the Python library.
algorithmic-trading-librarypythonalgorithmic-tradingtrading-botalgorithmic-trading-python
gbeced/basana
Mar 2023 - Mar 2023
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Contributions:3 releases, 10 reviews, 27 commits in 17 days
algorithmic-tradingasynciobacktestingbinancecryptocurrency
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