Israel Pérez
Senior Software Engineer at Perk
l'Hospitalet de Llobregat, Catalonia, Spain
Summary
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Rockstar🎓
Top SchoolIsrael Pérez is a Senior Software Engineer with 18 years of experience and a Master's in Artificial Intelligence, currently leading AI engineering and product development at Perk. He combines full-stack ownership—from discovery to production-grade delivery—across frontend, backend, DevOps and AI, and has scaled a startup from under 20 to a global platform of 1,500+ employees. Practically minded, he builds infrastructure for company-wide AI practices (observability, evals, context engineering) and has shipped features like an AutoPilot multi-agent booking system and AI-driven policies & approvals. His background in data science and ML is reinforced by open-source contributions to scikit-learn-contrib and Dask, improving docs, examples and testing for widely used Python data tooling. Comfortable leading teams and hands-on coding, he also has experience running 24/7 predictive SaaS stacks and deploying reliable systems on AWS. Based in Catalonia, he blends theoretical physics training with applied AI engineering to solve complex, product-focused problems.
18 years of coding experience
5 years of employment as a software developer
Physics, Theoretical Physics, Physics, Theoretical Physics at Universitat de BarcelonaPhysics Degree, Theoretical Physics, Physics Degree, Theoretical Physics at UCMMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at UPC
Spanish, English, Catalan
Stackoverflow
7,115reputation
731kreached
180answers
22questions
django
top-5%
scikit-learn
top-5%
django-rest-framework
top-5%
python
top-5%
Github Skills (23)
pytest10
python10
data-science10
testing10
scikit10
pandas10
machine-learning10
dask10
scikit-learn10
documentation10
test-automation10
numpy9
django9
django-rest-framework9
scipy8
Programming languages (11)
Github contributions (5)
scikit-learn-contrib/sklearn-pandas
Mar 2015 - Dec 2018
Pandas integration with sklearn
Role in this project:
Data Scientist
Data ScientistContributions:131 commits, 73 PRs, 93 pushes in 3 years 9 months
Contributions summary:Israel primarily contributed to the documentation and examples, clarifying the usage of the `DataFrameMapper` class. Their work included demonstrating how to keep columns without transformation using `None` as a transformer. Additionally, the user added examples that illustrate how to handle multiple transformers applied to the same column, showcasing the versatility of the library. They also improved the documentation to address the usage of the list vs string selection methods, and added a test for the feature.
pythonsklearnmachine-learningscikit-learnpandas
dask/dask
Jun 2016 - Sep 2016
Parallel computing with task scheduling
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:12 PRs, 63 comments, 12 issues in 2 months
Contributions summary:Israel's contributions primarily focused on improving the testing infrastructure within the Dask library. Their commits included adding and modifying tests, specifically targeting scenarios where optional packages were not present. This ensured that tests gracefully skipped dependencies and maintained a robust testing suite. Furthermore, they added and modified test cases related to CSV operations, which contributed to the overall stability and reliability of Dask's data handling capabilities.
pythonschedulingparallelnumpydask
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