Ero Carrera
Investor at True Wealth
Barcelona, Catalonia, Spain
Summary
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RockstarEro Carrera is an investor and veteran technologist with 18 years of experience, based in Barcelona, who brings deep expertise in reverse engineering and threat intelligence from work tied to F-Secure, zynamics, and Google. He combines hands-on engineering chops—evidenced by open-source contributions to projects like pefile (PE parsing, test automation) and arviz (enhancing Stan model I/O)—with a long-running track record of early-stage investing across cybersecurity and fintech ventures. Comfortable in back-end development and test automation, he has a practical focus on tooling and reproducible workflows that improve analysis and security operations. Ero’s profile blends technical rigor with portfolio-level perspective, enabling him to evaluate and scale engineering-led startups. A less obvious strength is his ability to move between low-level binary analysis and data-science tooling, bridging niche security research and broader ML/statistics tooling.
18 years of coding experience
English, Spanish, Catalan, Galician, German
Github Skills (8)
bayesian10
python10
data-science10
testing10
test-automation9
json9
setuptools8
documentation7
Programming languages (5)
Github contributions (5)
erocarrera/pefile
May 2015 - Jan 2023
pefile is a Python module to read and work with PE (Portable Executable) files
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:14 releases, 329 commits, 153 PRs in 7 years 9 months
Contributions summary:Ero primarily contributed to the project by making changes related to versioning and testing. They adjusted the version number in the setup file. Additionally, they set up and improved the test infrastructure including the addition of tests for the pefile module. The changes involved modifications to test files and the `setup.py` file to enable the execution of tests via the `python setup.py test` command.
extractionpythonpe-filevcentercode-injection
arviz-devs/arviz
Aug 2021 - Feb 2022
Exploratory analysis of Bayesian models with Python
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:4 reviews, 5 commits, 7 PRs in 5 months
Contributions summary:Ero primarily contributed to the `arviz` repository by adding support for JSON format to the `io_cmdstan` module, enhancing data input flexibility. They fixed a typo in a docstring and corrected an error message related to shape mismatches. Furthermore, the user modified the `from_cmdstan` function to accept a dictionary for `log_likelihood` parameters, improving the function's usability with Stan models.
pythonexploratorybayesian-inferencemachine-learningbayesian-models
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